Instructions to use Rupak100/ERRORWITHTYPEV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Rupak100/ERRORWITHTYPEV2 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, "Rupak100/ERRORWITHTYPEV2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4fc11bcc878738c547bf884d8d65fe7d5b86b1be696adbe2b0aaedf410fba3c0
- Size of remote file:
- 7.55 GB
- SHA256:
- 0169d3817a854efba7cdf20ed1b0fd54c4202325fa1b079144e8bfe19bcc464d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.