Instructions to use SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification/resolve/main/training_args.bin
- Command line
-
hf download hf://SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SaiPavanKumarMeruga/distilbert-base-uncased-lora-text-classification/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- d4068318bbff986e68847b32e329bf68f6c728645e2988b96132ace2668a97d9
- Size of remote file:
- 5.18 kB
- SHA256:
- 7041540f6e393cca7eb2b99060e1cfca920483348cdeb2d79965a5ad13be98bf
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