Instructions to use bertin-project/bertin-base-gaussian-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-gaussian-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-gaussian-exp-512seqlen")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-gaussian-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-gaussian-exp-512seqlen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ae05a9a271bc6471c4932b9519fa63e6478510ff6e83a4b8b6e58e711053323
- Size of remote file:
- 250 MB
- SHA256:
- ee891637a0357e7ec5fa9dba3b1fc5662087fb2e1cf2323e419251d180c96e69
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