Instructions to use bertin-project/bertin-base-gaussian-exp-512seqlen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-gaussian-exp-512seqlen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-gaussian-exp-512seqlen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-gaussian-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-gaussian-exp-512seqlen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from bertin-project/bertin-base-gaussian-exp-512seqlen: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/bertin-project/bertin-base-gaussian-exp-512seqlen/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://bertin-project/bertin-base-gaussian-exp-512seqlen/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bertin-project/bertin-base-gaussian-exp-512seqlen/resolve/main/flax_model.msgpack
250 MB
- Xet hash:
- 8ae05a9a271bc6471c4932b9519fa63e6478510ff6e83a4b8b6e58e711053323
- Size of remote file:
- 250 MB
- SHA256:
- ee891637a0357e7ec5fa9dba3b1fc5662087fb2e1cf2323e419251d180c96e69
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