Instructions to use Shreeyut/gee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shreeyut/gee with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shreeyut/gee") model = AutoModelForSeq2SeqLM.from_pretrained("Shreeyut/gee", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Shreeyut/gee: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Shreeyut/gee/resolve/main/training_args.bin
- Command line
-
hf download hf://Shreeyut/gee/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shreeyut/gee/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- f0c9097970aaad290cee08466e5db1f94db1a40cda5ca5b7702da65c92970e71
- Size of remote file:
- 5.11 kB
- SHA256:
- 3af0b5763725018f510e1ef9b709146035078e6d49fb05b2bf10f09ffff844e4
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