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
Update config.json
Browse files- config.json +2 -1
config.json
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"eos_token_id": 2,
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"extra_layer_norm": false,
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"extra_pos_embeddings": 0,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings":
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"unk_token_id": 3,
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"variant": "prelayernorm",
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"vocab_size": 8008
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"eos_token_id": 2,
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"extra_layer_norm": false,
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"extra_pos_embeddings": 0,
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"force_bos_token_to_be_generated": false,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"num_hidden_layers": 2,
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"pad_token_id": 0,
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"scale_embedding": true,
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"static_position_embeddings": false,
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"unk_token_id": 3,
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"variant": "prelayernorm",
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"vocab_size": 8008
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