Instructions to use beast33/ccc17c4f-87d3-4613-ada3-4145a01d70b6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/ccc17c4f-87d3-4613-ada3-4145a01d70b6 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, "beast33/ccc17c4f-87d3-4613-ada3-4145a01d70b6") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f27074ee13e1c59cde3f04032d3e94ce507b5ec3563f69ff9e69f88de5479a12
- Size of remote file:
- 6.78 kB
- SHA256:
- 6f20b92baca578596fd3809b4c1395674af5da58d51e6a2c1dbcf8df9caa27e0
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