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", 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
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"_from_model_config": true,
"bos_token_id": 1,
"decoder_start_token_id": 1,
"encoder_no_repeat_ngram_size": 3,
"eos_token_id": 2,
"forced_eos_token_id": 2,
"length_penalty": 0.65,
"max_length": 60,
"min_length": 20,
"no_repeat_ngram_size": 3,
"num_beams": 10,
"pad_token_id": 0,
"transformers_version": "4.27.0.dev0"
}
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