Instructions to use AurrieMartinez/roberta-base-lora-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AurrieMartinez/roberta-base-lora-text-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("roberta-base") model = PeftModel.from_pretrained(base_model, "AurrieMartinez/roberta-base-lora-text-classification") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AurrieMartinez/roberta-base-lora-text-classification: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
-
https://huggingface.co/AurrieMartinez/roberta-base-lora-text-classification/resolve/main/tokenizer.json
- Command line
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hf download hf://AurrieMartinez/roberta-base-lora-text-classification/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AurrieMartinez/roberta-base-lora-text-classification/resolve/main/tokenizer.json
2.11 MB
File too large to display, you can check the raw version instead.