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:
- 23bdfe72a3a4503f408989ae210021a7541f3a91b616ea5c4bcbe17aea1c1a25
- Size of remote file:
- 250 MB
- SHA256:
- 6fbe222a66d5f84cecfc1b3482777b8d9473d8ee30085d316f9d7ddc628df1e4
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