Instructions to use shiontendon/error_diagnostic_model_mPyT5_label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiontendon/error_diagnostic_model_mPyT5_label with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label") model = AutoModelForSeq2SeqLM.from_pretrained("shiontendon/error_diagnostic_model_mPyT5_label", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from shiontendon/error_diagnostic_model_mPyT5_label: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/shiontendon/error_diagnostic_model_mPyT5_label/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://shiontendon/error_diagnostic_model_mPyT5_label/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/shiontendon/error_diagnostic_model_mPyT5_label/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 7dbb19987028ef0aa06162296011b5af6d7ab6a9bdcf74918a8846bb7a2fe03b
- Size of remote file:
- 1.2 GB
- SHA256:
- 27b6b365d35f4a0dfea971b1dedf1847c2a19ba023de275a02b5fa4532d2551d
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