Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
Use Hugging Face Transformers models directly from Claude/OpenClaw --- name: huggingface-transformers version: 1.0.0 description: Use Hugging Face Transformers models directly from Claude/OpenClaw homepage: https://huggingface.co/docs/transformers --- Hugging Face Transformers Skill Access and use Hugging Face Transformers models directly from your agent workflow. Prerequisites Quick Start Text Generation Sentiment Analysis Named Entity Recognition Image Classification Translation A Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Freshness
Last checked 4/14/2026
Best For
huggingface-transformers is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Use Hugging Face Transformers models directly from Claude/OpenClaw --- name: huggingface-transformers version: 1.0.0 description: Use Hugging Face Transformers models directly from Claude/OpenClaw homepage: https://huggingface.co/docs/transformers --- Hugging Face Transformers Skill Access and use Hugging Face Transformers models directly from your agent workflow. Prerequisites Quick Start Text Generation Sentiment Analysis Named Entity Recognition Image Classification Translation A
Public facts
4
Change events
1
Artifacts
0
Freshness
Apr 14, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 14, 2026
Vendor
Huggingface
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 4/14/2026.
Setup snapshot
git clone https://github.com/kaigritun/huggingface-transformers-skill.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Huggingface
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
pip install transformers torch
bash
python scripts/generate.py --model gpt2 --prompt "Once upon a time"
bash
python scripts/sentiment.py --text "I love this product!"
bash
python scripts/ner.py --text "Apple Inc. was founded by Steve Jobs in California."
bash
python scripts/classify-image.py --image path/to/image.jpg
bash
python scripts/translate.py --text "Hello world" --source en --target fr
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Use Hugging Face Transformers models directly from Claude/OpenClaw --- name: huggingface-transformers version: 1.0.0 description: Use Hugging Face Transformers models directly from Claude/OpenClaw homepage: https://huggingface.co/docs/transformers --- Hugging Face Transformers Skill Access and use Hugging Face Transformers models directly from your agent workflow. Prerequisites Quick Start Text Generation Sentiment Analysis Named Entity Recognition Image Classification Translation A
Access and use Hugging Face Transformers models directly from your agent workflow.
pip install transformers torch
python scripts/generate.py --model gpt2 --prompt "Once upon a time"
python scripts/sentiment.py --text "I love this product!"
python scripts/ner.py --text "Apple Inc. was founded by Steve Jobs in California."
python scripts/classify-image.py --image path/to/image.jpg
python scripts/translate.py --text "Hello world" --source en --target fr
The scripts output JSON for easy integration:
const result = await exec("python scripts/generate.py --model gpt2 --prompt 'Hello'");
const output = JSON.parse(result);
console.log(output.text);
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "mistralai/Mistral-7B-v0.1"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
from transformers import pipeline
# Sentiment analysis
classifier = pipeline("sentiment-analysis")
result = classifier("I love using Transformers!")
# Question answering
qa = pipeline("question-answering")
result = qa(question="What is my name?", context="My name is Clara and I live in Berkeley.")
--device cuda for GPU acceleration if availableTRANSFORMERS_CACHE env var to control model storage location| Task | Pipeline | Example Model | |------|----------|---------------| | Text generation | text-generation | gpt2 | | Fill-mask | fill-mask | bert-base-uncased | | NER | ner | dbmdz/bert-large-cased-finetuned-conll03-english | | Question answering | question-answering | distilbert-base-cased-distilled-squad | | Sentiment | sentiment-analysis | distilbert-base-uncased-finetuned-sst-2-english | | Summarization | summarization | facebook/bart-large-cnn | | Translation | translation | Helsinki-NLP/opus-mt-en-fr | | Zero-shot | zero-shot-classification | facebook/bart-large-mnli |
Out of memory? Use smaller models like distilbert or quantized versions.
Slow inference? Enable GPU with --device cuda or use transformers[torch] with CUDA.
Model not found? Check model name on https://huggingface.co/models
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 5d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-16T23:35:46.044Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Huggingface",
"href": "https://huggingface.co/docs/transformers",
"sourceUrl": "https://huggingface.co/docs/transformers",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-14T22:25:00.288Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-14T22:25:00.288Z",
"isPublic": true
},
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://huggingface.co/pcuenq/activity/likes",
"sourceUrl": "https://huggingface.co/pcuenq/activity/likes",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-03-14T02:18:36.466Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/kaigritun-huggingface-transformers-skill/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://huggingface.co/pcuenq/activity/likes",
"sourceUrl": "https://huggingface.co/pcuenq/activity/likes",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-03-14T02:18:36.466Z",
"isPublic": true
}
]Sponsored
Ads related to huggingface-transformers and adjacent AI workflows.