Instructions to use bertin-project/bertin-base-gaussian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-gaussian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-gaussian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-gaussian") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-gaussian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 64c127284963c6ff51bb88bd7e56f7826f2fa110971cf3135352b0c899159825
- Size of remote file:
- 499 MB
- SHA256:
- 73d59e98991fb6d5871c3a3fff03f8ee2a4acb95939692e85c2265b9c121f205
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