Instructions to use luminoria/fine_tuned_t5_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luminoria/fine_tuned_t5_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("luminoria/fine_tuned_t5_model") model = AutoModelForSeq2SeqLM.from_pretrained("luminoria/fine_tuned_t5_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from luminoria/fine_tuned_t5_model: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/luminoria/fine_tuned_t5_model/resolve/main/training_args.bin
- Command line
-
hf download hf://luminoria/fine_tuned_t5_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/luminoria/fine_tuned_t5_model/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- e625935621a45e5bd4fc0efc201fe4e30692216e14fdbe7dc34a855bf4a71132
- Size of remote file:
- 4.22 kB
- SHA256:
- 0b58cddd88dbd913f9c1ded2de49d7c2d1111d242fb41e19dfed894a25e5957c
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