Instructions to use saadob12/t5_autochart_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saadob12/t5_autochart_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("saadob12/t5_autochart_2") model = AutoModelForSeq2SeqLM.from_pretrained("saadob12/t5_autochart_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from saadob12/t5_autochart_2: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/saadob12/t5_autochart_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://saadob12/t5_autochart_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saadob12/t5_autochart_2/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 5d17c67bdae8107bf3697c705fae0703f589aef9a6bc73cf738797234b5ce004
- Size of remote file:
- 892 MB
- SHA256:
- da415b826bd820250d8e9711dcf4630fe86f2d75f4b15b8e43c1ab6ac4afd14c
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