Instructions to use SpreadSheets600/electra-lora-mcq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SpreadSheets600/electra-lora-mcq with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("google/electra-base-discriminator") model = PeftModel.from_pretrained(base_model, "SpreadSheets600/electra-lora-mcq") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from SpreadSheets600/electra-lora-mcq: direct link, hf CLI and curl.
- Browser
- Download file 711 kB
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https://huggingface.co/SpreadSheets600/electra-lora-mcq/resolve/main/tokenizer.json
- Command line
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hf download hf://SpreadSheets600/electra-lora-mcq/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/SpreadSheets600/electra-lora-mcq/resolve/main/tokenizer.json
711 kB
File too large to display, you can check the raw version instead.