Instructions to use genies-models/llama-7b-code_hard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use genies-models/llama-7b-code_hard with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("models/llama-7b") model = PeftModel.from_pretrained(base_model, "genies-models/llama-7b-code_hard") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a158ac00c87119dc64cbbc33dc2d7382e0122f7b413dfa84714729c0e72b912
- Size of remote file:
- 5.12 kB
- SHA256:
- c51621278df14e2b3237ab9c6805b308a7bc379f7560d3be0a547ed485446f4c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.