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 tokenizer.json from Madi7a/deberta-absa: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/Madi7a/deberta-absa/resolve/main/tokenizer.json
- Command line
-
hf download hf://Madi7a/deberta-absa/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Madi7a/deberta-absa/resolve/main/tokenizer.json
8.66 MB
File too large to display, you can check the raw version instead.