Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Hari93/res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hari93/res with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hari93/res") model = AutoModelForSeq2SeqLM.from_pretrained("Hari93/res", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hari93/res: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Hari93/res/resolve/main/training_args.bin
- Command line
-
hf download hf://Hari93/res/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hari93/res/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- a50094f30359bd3b3110162a90e6ba47910f230b310a8e5d0a6846a73b0ead37
- Size of remote file:
- 4.09 kB
- SHA256:
- 2e46bbecbdeb6cea5bdcb6c67fad4508bd749daa17d5de8e0472bc48c5fb04f0
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