Instructions to use nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "nttx/a0f7c4d9-e201-4db2-b154-cd5c955d3bc0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f1f82671a5d5a777adf00cfc3655c9c173404186c9fec82c7456f5b93efb9fc
- Size of remote file:
- 37.1 MB
- SHA256:
- 6f691907db87098dbbf9ee154ffa01897296e918b41cb2ded45653ea5b69be16
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.