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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 188d9321467a8f9e644dcd180c381c56132b3c3add8e99137eac25c15f60d55c
- Size of remote file:
- 4.81 MB
- SHA256:
- c0c17030088d2c656f46bde391e5f50e7d580b4887fd241d0623a0af08f21d7c
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