Instructions to use gowtham58/TL_T with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gowtham58/TL_T with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gowtham58/TL_T") model = AutoModelForSeq2SeqLM.from_pretrained("gowtham58/TL_T", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from gowtham58/TL_T: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/gowtham58/TL_T/resolve/main/training_args.bin
- Command line
-
hf download hf://gowtham58/TL_T/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/gowtham58/TL_T/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 0f63d4a94e54d99c6660b1322e0b5aecd6748a5af7ad760f86e7881ab0d99c5f
- Size of remote file:
- 5.11 kB
- SHA256:
- e9e19bf8820cc787f3ce25fa7dd354350f124d0ec4dcc036a55bee69f8b9595d
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