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:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-3B") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-3B") 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
Adding generation config file(s)
Browse files- generation_config.json +15 -0
generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"decoder_start_token_id": 1,
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"encoder_no_repeat_ngram_size": 3,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"length_penalty": 0.65,
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"max_length": 60,
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"min_length": 20,
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"no_repeat_ngram_size": 3,
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"num_beams": 10,
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"pad_token_id": 0,
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"transformers_version": "4.27.0.dev0"
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}
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