Instructions to use chronbmm/sanskrit-byt5-ocr-postcorrection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chronbmm/sanskrit-byt5-ocr-postcorrection with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chronbmm/sanskrit-byt5-ocr-postcorrection") model = AutoModelForSeq2SeqLM.from_pretrained("chronbmm/sanskrit-byt5-ocr-postcorrection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from chronbmm/sanskrit-byt5-ocr-postcorrection: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/chronbmm/sanskrit-byt5-ocr-postcorrection/resolve/main/model.safetensors
- Command line
-
hf download hf://chronbmm/sanskrit-byt5-ocr-postcorrection/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/chronbmm/sanskrit-byt5-ocr-postcorrection/resolve/main/model.safetensors
2.33 GB
- Xet hash:
- 62fa6dc2e88b20881b5be97aa10c3e428585646b9200872af5c73cf5b267e254
- Size of remote file:
- 2.33 GB
- SHA256:
- 408661716b75eb1989bd87123f7292c26e45f2cfbb13d982a13235d4493d1a29
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