Instructions to use latincy/latin-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use latincy/latin-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="latincy/latin-bert")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("latincy/latin-bert") model = AutoModel.from_pretrained("latincy/latin-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from latincy/latin-bert: direct link, hf CLI and curl.
- Browser
- Download file 448 MB
-
https://huggingface.co/latincy/latin-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://latincy/latin-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/latincy/latin-bert/resolve/main/pytorch_model.bin
448 MB
- Xet hash:
- 7fb79c9abab3472562ee5941ba0aa648008780ed90947668380111fa4efd24e4
- Size of remote file:
- 448 MB
- SHA256:
- ad931a030dffd79a6cc13eaf5108352418285d3a04b510cc70b41fdd609635b5
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