Instructions to use nithyanantha/YOUR_OUTPUT_DIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nithyanantha/YOUR_OUTPUT_DIR with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mathstral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "nithyanantha/YOUR_OUTPUT_DIR") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b6c607c4dd3602e0e3530d2a230c601f13dc21f5838efee8fe972cc9f45faee
- Size of remote file:
- 877 MB
- SHA256:
- 651f7e9315ef74252d7786de76e538268399b231b3301a38fad45354ed0d7539
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