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:
- 79b1db743270cb72fc8a49ced1ebe415136306142f9a9ab918f1b2295cbb1ed3
- Size of remote file:
- 500 MB
- SHA256:
- cd11a9db492ffd0b14cde8aa00ac4f4eb33e4b14e8be06fb275eb1d4cf9c736f
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