Instructions to use bertin-project/bertin-base-stepwise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-stepwise with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-stepwise")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-stepwise") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-stepwise") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7873eb9585173de80003d6f8d8a95f9b1a7708607da3e6f7cbeaf72696f9fd8d
- Size of remote file:
- 250 MB
- SHA256:
- 480c54494726a063f46cdd71519435cab118f3c20f67e1c78988e1f846dc1397
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