Instructions to use eeeebbb2/e2490477-ab53-4b70-a31f-64cfcab620c4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/e2490477-ab53-4b70-a31f-64cfcab620c4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B") model = PeftModel.from_pretrained(base_model, "eeeebbb2/e2490477-ab53-4b70-a31f-64cfcab620c4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2fddf1e969584b7b12598bd24dfe5b4b331c5b67fb19b2c7c1f778568d1a539
- Size of remote file:
- 6.84 kB
- SHA256:
- 29c2964e04499574e95f5810848a60699e912ed8352c2984967f9cb1330d74dd
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