Instructions to use NoobCoder10/Generating_Score with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use NoobCoder10/Generating_Score with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("abhishek/llama-2-7b-hf-small-shards") model = PeftModel.from_pretrained(base_model, "NoobCoder10/Generating_Score") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5ae82992b462378ffccd8945f860d0dafd38ab74a43666355571b3c369f85483
- Size of remote file:
- 7.56 GB
- SHA256:
- 4235a746b07bab106dab9e6de703e94cec40111cd186b3f4a6d9948ab15a4b15
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.