transformers-integration

HuggingFace Transformers (v4.36+) supports Flash Attention 2 natively.

Skills
AI research
4

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/transformers-integration && curl -fsSL https://doutorai.pt/data/lib/skills__transformers-integration.md -o .claude/skills/transformers-integration/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# HuggingFace Transformers Integration

## Contents
- Enabling Flash Attention in Transformers
- Supported model architectures
- Configuration examples
- Performance comparisons
- Troubleshooting model-specific issues

## Enabling Flash Attention in Transformers

HuggingFace Transformers (v4.36+) supports Flash Attention 2 natively.

**Simple enable for any supported model**:
```python
from transformers import AutoModel

model = AutoModel.from_pretrained(
    "meta-llama/Llama-2-7b-hf",
    attn_implementation="flash_attention_2",
    torch_dtype=torch.float16,
    device_map="auto"
)
```

**I

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