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:
# pip install -U transformers accelerate # 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 training_args.bin from saadob12/t5_autochart_2: direct link, hf CLI and curl.
- Browser
- Download file 3.44 kB
-
https://huggingface.co/saadob12/t5_autochart_2/resolve/main/training_args.bin
- Command line
-
hf download hf://saadob12/t5_autochart_2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/saadob12/t5_autochart_2/resolve/main/training_args.bin
3.44 kB
- Xet hash:
- 077a473b6fbaede99a7dc874dd2ae754bd58b5a9404df4d53a5d399ba127c19f
- Size of remote file:
- 3.44 kB
- SHA256:
- 43781345c6dc137bb638cc57b673438a0cf39fd66a7f2dca7bfb50463c3693f7
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