Instructions to use KoichiYasuoka/deberta-small-coptic-upos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoichiYasuoka/deberta-small-coptic-upos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="KoichiYasuoka/deberta-small-coptic-upos")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("KoichiYasuoka/deberta-small-coptic-upos") model = AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/deberta-small-coptic-upos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoichiYasuoka/deberta-small-coptic-upos: direct link, hf CLI and curl.
- Browser
- Download file 37 MB
-
https://huggingface.co/KoichiYasuoka/deberta-small-coptic-upos/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoichiYasuoka/deberta-small-coptic-upos/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoichiYasuoka/deberta-small-coptic-upos/resolve/main/pytorch_model.bin
37 MB
- Xet hash:
- 6ae491cca91c8507d07b44d81a2c5585bf1dd6ee2fbc847edbc696f6e4a48aa7
- Size of remote file:
- 37 MB
- SHA256:
- 9188a0dbd64a8791d26c915414f3eaae4d7ca2775cccf6b24b53222ad1de3c44
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