Instructions to use AK232003/outputs_500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AK232003/outputs_500 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("bert-base-uncased") model = PeftModel.from_pretrained(base_model, "AK232003/outputs_500") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5cbc913a889b11b69900b1172accaee6a9c95ce3a3fd3d4b580a81b40fc970d
- Size of remote file:
- 4.92 kB
- SHA256:
- 3a9258865695f78a6a3389350fb84b4b5b832b495f80aaa7164b9a610fc78917
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