Instructions to use cunghoctienganh/cc1f1a67-56a4-4ec2-ac20-b46f71ebb33b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cunghoctienganh/cc1f1a67-56a4-4ec2-ac20-b46f71ebb33b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-v0.2") model = PeftModel.from_pretrained(base_model, "cunghoctienganh/cc1f1a67-56a4-4ec2-ac20-b46f71ebb33b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9765cd34fcb1b4599ddfb1735eb7809aa47579f0e34913e92894f8572a0fe08e
- Size of remote file:
- 84 MB
- SHA256:
- 73ccf3c752b08758bed755fbd097647461fd78a9634bcce2aa7cd5871d9c93ce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.