Instructions to use Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForTokenClassification model = AutoModelForTokenClassification.from_pretrained("Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium: direct link, hf CLI and curl.
- Browser
- Download file 344 MB
-
https://huggingface.co/Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Team-PIXEL/pixel-base-finetuned-pos-ud-coptic-scriptorium/resolve/main/pytorch_model.bin
344 MB
- Xet hash:
- fe8b7f7c4327635f340e7c6906c3d4c4945e4b58d8ddcb9b1b4d854c1a0116b7
- Size of remote file:
- 344 MB
- SHA256:
- 6fbdaccbdf1b4c0c4548882d733f45ed9d13538abf50b741ffe5ea254387aed6
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