Instructions to use clee9/T5_small_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clee9/T5_small_fine_tuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("clee9/T5_small_fine_tuned") model = AutoModelForSeq2SeqLM.from_pretrained("clee9/T5_small_fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from clee9/T5_small_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/clee9/T5_small_fine_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://clee9/T5_small_fine_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/clee9/T5_small_fine_tuned/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 0b2ae79e49a1e00fdb6fb7488bde42d8f1b41d230db693b4aa38d7f8bc15eb4a
- Size of remote file:
- 5.43 kB
- SHA256:
- 279af3ec218e51516f7274d6f0be77a990506f3611f82b5b65420f5a0f6e2e29
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