Instructions to use facebook/blenderbot-90M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/blenderbot-90M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot-90M") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot-90M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from facebook/blenderbot-90M: direct link, hf CLI and curl.
- Browser
- Download file 350 MB
-
https://huggingface.co/facebook/blenderbot-90M/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://facebook/blenderbot-90M/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/facebook/blenderbot-90M/resolve/main/pytorch_model.bin
350 MB
- Xet hash:
- 38f353a6df4afc0e3380c9a182fe6bca2220ca6064f36b8d8957a807534700ed
- Size of remote file:
- 350 MB
- SHA256:
- a6cbcd7e7157bc5ed8cac3e734bb4622852c3932fb8de297cb0b5f87d0990e73
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