Instructions to use vppvgit/BiblItBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vppvgit/BiblItBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vppvgit/BiblItBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vppvgit/BiblItBERT") model = AutoModelForMaskedLM.from_pretrained("vppvgit/BiblItBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 57550ed5e386949e113e7050e70c13598e7e85d10740e2af00841cf7cdd45f1a
- Size of remote file:
- 443 MB
- SHA256:
- 21ac93ae647bdaca039c7ddb2328e79400dd1e6000edc95093661b97bca424fb
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