Instructions to use nttx/ed5fbfc8-df7d-4e56-92a9-19c0c3baa017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/ed5fbfc8-df7d-4e56-92a9-19c0c3baa017 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "nttx/ed5fbfc8-df7d-4e56-92a9-19c0c3baa017") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c186cdfa9cc661c3a6adfa3f81e68bd3c0c33931c09361c36ad47abcfd231a60
- Size of remote file:
- 6.78 kB
- SHA256:
- 51f26111468eb25c5da02e18428deb634179971ae4acf02de7a9fe1ff6b32c7c
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