Instructions to use facebook/blenderbot-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/blenderbot-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-3B") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-3B", device_map="auto") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from facebook/blenderbot-3B: direct link, hf CLI and curl.
- Browser
- Download file 345 Bytes
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https://huggingface.co/facebook/blenderbot-3B/resolve/main/.gitattributes
- Command line
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hf download hf://facebook/blenderbot-3B/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/facebook/blenderbot-3B/resolve/main/.gitattributes
345 Bytes
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