Instructions to use gowtham58/T_TL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowtham58/T_TL with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gowtham58/T_TL") model = AutoModelForSeq2SeqLM.from_pretrained("gowtham58/T_TL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gowtham58/T_TL: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/gowtham58/T_TL/resolve/main/training_args.bin
- Command line
-
hf download hf://gowtham58/T_TL/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gowtham58/T_TL/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- c96061acf6a6d4596c19432d2b8326a3faafe797f05450987eedbe098f13b957
- Size of remote file:
- 5.11 kB
- SHA256:
- a647049fe0ac59b7f7cd5a1e0c85a1bcc44ac06c7d1c2136184c09bb8c525f98
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