Instructions to use tuanna08go/0e507bf6-e458-4adc-a8f4-0611acb0d516 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tuanna08go/0e507bf6-e458-4adc-a8f4-0611acb0d516 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "tuanna08go/0e507bf6-e458-4adc-a8f4-0611acb0d516") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cfcf17ef0696f3c7af442ef3d4cf17aeb526a255bd2c3e50e935fe1ce4765da
- Size of remote file:
- 84 MB
- SHA256:
- e913f8f04d0b66d602419d2010d3930ed9269bb9738fc1bea6c303c6264325a9
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