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
File size: 1,289 Bytes
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"activation_dropout": 0.0,
"activation_function": "gelu",
"add_bias_logits": false,
"add_final_layer_norm": true,
"architectures": [
"BlenderbotForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 1,
"classif_dropout": 0.0,
"d_model": 2560,
"decoder_attention_heads": 32,
"decoder_ffn_dim": 10240,
"decoder_layerdrop": 0.0,
"decoder_layers": 24,
"dropout": 0.1,
"encoder_attention_heads": 32,
"encoder_ffn_dim": 10240,
"encoder_layerdrop": 0.0,
"encoder_layers": 2,
"eos_token_id": 2,
"extra_layer_norm": false,
"extra_pos_embeddings": 0,
"force_bos_token_to_be_generated": false,
"id2label": {
"0": "LABEL_0",
"1": "LABEL_1",
"2": "LABEL_2"
},
"init_std": 0.02,
"is_encoder_decoder": true,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_2": 2
},
"length_penalty": 0.65,
"max_length": 60,
"max_position_embeddings": 128,
"min_length": 20,
"model_type": "blenderbot",
"no_repeat_ngram_size": 3,
"normalize_before": true,
"normalize_embedding": false,
"num_beams": 10,
"num_hidden_layers": 2,
"pad_token_id": 0,
"scale_embedding": true,
"static_position_embeddings": false,
"unk_token_id": 3,
"layernorm_variant": "prelayernorm",
"vocab_size": 8008
}
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