Instructions to use ponteineptique/latin-classical-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ponteineptique/latin-classical-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ponteineptique/latin-classical-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ponteineptique/latin-classical-small") model = AutoModel.from_pretrained("ponteineptique/latin-classical-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39f461b45c742052858d9f4f47e8e92812e96f14307e397c08d8534fbff6cde7
- Size of remote file:
- 164 MB
- SHA256:
- 709b8c90e3161d017e2ac2dca9daa7844fbf2dca6d1c7f0a2a21db542ccf7498
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