Transformers
PyTorch
TensorFlow
JAX
English
blenderbot
text2text-generation
convAI
conversational
facebook
Instructions to use facebook/blenderbot-400M-distill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/blenderbot-400M-distill with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-400M-distill") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-400M-distill", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/blenderbot-400M-distill: direct link, hf CLI and curl.
- Browser
- Download file 730 MB
-
https://huggingface.co/facebook/blenderbot-400M-distill/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/blenderbot-400M-distill/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/blenderbot-400M-distill/resolve/main/pytorch_model.bin
730 MB
- Xet hash:
- 36bdb40a15ee8c867aaf44590a4bdaa4df2664426fe9a4d0d578a9a5219e6a2d
- Size of remote file:
- 730 MB
- SHA256:
- 075e032320c5f6c96b55c04b252c0a47ca5e8bbd86ef209cd1470fdd750449c5
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