Instructions to use codegood/MistralLite_SC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegood/MistralLite_SC 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_SC") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from codegood/MistralLite_SC: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/codegood/MistralLite_SC/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://codegood/MistralLite_SC/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/codegood/MistralLite_SC/resolve/main/adapter_model.safetensors
369 MB
- Xet hash:
- be9cb77a30ca07e0a40942e9c734d60f8e47e72a1d71a4889250cee15723426d
- Size of remote file:
- 369 MB
- SHA256:
- 32d8bbd71d91b1ead56dd8e86b53ebc4f697ce36db7c622bd38fd89a2c36d071
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