Instructions to use Madi7a/deberta-absa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Madi7a/deberta-absa with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("microsoft/deberta-v3-large") model = PeftModel.from_pretrained(base_model, "Madi7a/deberta-absa") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Madi7a/deberta-absa: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/Madi7a/deberta-absa/resolve/main/training_args.bin
- Command line
-
hf download hf://Madi7a/deberta-absa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Madi7a/deberta-absa/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 8ec248916b20fb12fadf652ae6124eff17b4bb234b2af317a367cdbedee181c0
- Size of remote file:
- 5.24 kB
- SHA256:
- c6d7cec7f070b44f876cf6d85e35ea70143f55397f2fbf9870212dace00bab6a
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