Instructions to use shiontendon/error_diagnostic_model_mT5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiontendon/error_diagnostic_model_mT5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shiontendon/error_diagnostic_model_mT5") model = AutoModelForSeq2SeqLM.from_pretrained("shiontendon/error_diagnostic_model_mT5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shiontendon/error_diagnostic_model_mT5: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/shiontendon/error_diagnostic_model_mT5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shiontendon/error_diagnostic_model_mT5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shiontendon/error_diagnostic_model_mT5/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- b016f92573531eb30b4336477eba410d630d2b09403284d795c9ca9034e06a55
- Size of remote file:
- 1.2 GB
- SHA256:
- d1338d5d8fe013b9e3c29d74a6d7136c20c259d2fc802699f187ac6d02e48b82
路
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