Instructions to use codegood/MistralLite_SCQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/MistralLite_SCQA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("amazon/MistralLite") model = PeftModel.from_pretrained(base_model, "codegood/MistralLite_SCQA") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from codegood/MistralLite_SCQA: direct link, hf CLI and curl.
- Browser
- Download file 1.8 MB
-
https://huggingface.co/codegood/MistralLite_SCQA/resolve/main/tokenizer.json
- Command line
-
hf download hf://codegood/MistralLite_SCQA/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/codegood/MistralLite_SCQA/resolve/main/tokenizer.json
1.8 MB
File too large to display, you can check the raw version instead.