Instructions to use nttx/fe76709d-ff7f-4840-b2fb-26adf5689db5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/fe76709d-ff7f-4840-b2fb-26adf5689db5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "nttx/fe76709d-ff7f-4840-b2fb-26adf5689db5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2d0e71a50247ed9b5a4e89a7c103d18c84f3f04d79c6f936e6b1c1b59dfa947
- Size of remote file:
- 1.06 kB
- SHA256:
- f2c4a11c3ec7ace2e963dc6e2b0b5b6372cc0250cefb36d5f7289475908638cb
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