Instructions to use clee9/T5_base_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clee9/T5_base_fine_tuned with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("clee9/T5_base_fine_tuned") model = AutoModelForSeq2SeqLM.from_pretrained("clee9/T5_base_fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from clee9/T5_base_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/clee9/T5_base_fine_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://clee9/T5_base_fine_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/clee9/T5_base_fine_tuned/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- be134b9c7ebd22970b3673f6d93ca3bf2248ac17bcce909b4971f63469bd6f00
- Size of remote file:
- 5.43 kB
- SHA256:
- 54eb7653490c16b87bef89f8ce943c24708b999dc8f76a6f33cce762281dcc1c
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