Transformers
TensorBoard
Safetensors
bart
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use Suhaib-27/check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suhaib-27/check with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Suhaib-27/check") model = AutoModelForSeq2SeqLM.from_pretrained("Suhaib-27/check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Suhaib-27/check: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Suhaib-27/check/resolve/main/training_args.bin
- Command line
-
hf download hf://Suhaib-27/check/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Suhaib-27/check/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- bb758d9795b0c3f6ed2365555d613535b6a5f6891ba2a15972b43a8b0bf4f57f
- Size of remote file:
- 5.24 kB
- SHA256:
- 4b7c9740a36970d0e8ba9239936777d25a656a99a8765d3d4f3b16d0199edfd5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.