Instructions to use vppvgit/BiblItBERT-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vppvgit/BiblItBERT-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vppvgit/BiblItBERT-1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vppvgit/BiblItBERT-1") model = AutoModelForMaskedLM.from_pretrained("vppvgit/BiblItBERT-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f2f0381c56ee2dd5f314a58c047f0eb3f5dca7fb5b096afbe33a8d8b8b6c068
- Size of remote file:
- 443 MB
- SHA256:
- e387dbd0fb353318045097f6432450fed1fd2c7b4f0733bac82fdda89157e249
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