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:
- 468f421fe16315fe2d46cfb2a16ce3ee2b30a73994d946b8275aac6a0b77c9c4
- Size of remote file:
- 500 MB
- SHA256:
- 1beef8a694b7f92502d8e8b7d8fc0dab9cbb52c91b4f81c79c1c27141c29bd92
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