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 generation_config.json from facebook/blenderbot-3B: direct link, hf CLI and curl.
- Browser
- Download file 347 Bytes
-
https://huggingface.co/facebook/blenderbot-3B/resolve/main/generation_config.json
- Command line
-
hf download hf://facebook/blenderbot-3B/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/facebook/blenderbot-3B/resolve/main/generation_config.json
347 Bytes
| { | |
| "_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" | |
| } | |