HuggingFace | Respan Docs

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Use AI

Add the Docs MCP to your AI coding tool to get help building with Respan. No API key needed.

1 {
2   "mcpServers": {
3     "respan-docs": {
4       "url": "https://docs.respan.ai/mcp"
5     }
6   }
7 }

What is HuggingFace?

HuggingFace is the leading platform for machine learning models, datasets, and tools. The Transformers library provides access to thousands of pretrained models for text generation, classification, translation, and more.

Setup

Install packages

$ pip install respan-ai opentelemetry-instrumentation-transformers transformers python-dotenv

Set environment variables

$ export RESPAN_API_KEY="YOUR_RESPAN_API_KEY"
$ export OTEL_EXPORTER_OTLP_ENDPOINT="https://api.respan.ai/api"
$ export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Bearer $RESPAN_API_KEY"

Initialize and run

1 import os
2 from dotenv import load_dotenv
3 
4 load_dotenv()
5 
6 from transformers import pipeline
7 from respan import Respan
8 
9 # Auto-discover and activate all installed instrumentors
10 respan = Respan(is_auto_instrument=True)
11 
12 # Create a text generation pipeline — auto-traced by Respan
13 generator = pipeline("text-generation", model="gpt2")
14 
15 output = generator("Say hello in three languages:", max_new_tokens=100)
16 print(output[0]["generated_text"])
17 respan.flush()

View your trace

Open the Traces page to see your auto-instrumented inference spans.

What gets traced

Model name and repository
Input/output content
Token usage
Inference latency
Pipeline configuration

Traces appear in the Traces dashboard.

Learn more

OpenTelemetry integration - How Respan processes OTel spans
Respan Python SDK - Full SDK reference