Instructions to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "eeeebbb2/2a482079-7616-410e-9581-d0ea6a23eb7f") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- faa6de77754c06ecd496ec1c9b2fb7c4b8afa826a94675e9cb4b980d81f36792
- Size of remote file:
- 6.84 kB
- SHA256:
- 17b1e414d54df050fe88151710b6d18be4b7d3de663c6465f6024cc6ad887125
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