Instructions to use bertin-project/bertin-base-stepwise-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-stepwise-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-stepwise-exp-512seqlen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d1206786cd38010feb4391a1d8ca11ca5b3b103a814b7302935250ef66cd342d
- Size of remote file:
- 250 MB
- SHA256:
- 3a80ec619ededfbd4e9b69ec8ed53e4716447f0d49f33d7c1dd0c8933a415b92
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