Instructions to use beast33/c416c466-4b6f-4ef3-b0f8-c8d6f5fd4160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use beast33/c416c466-4b6f-4ef3-b0f8-c8d6f5fd4160 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, "beast33/c416c466-4b6f-4ef3-b0f8-c8d6f5fd4160") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e5465a766b2a6e2aa13ab6ebe923d29cc1772fd74d2d474b7cb9ef77d9c65b2
- Size of remote file:
- 6.78 kB
- SHA256:
- ac68b19aefccdb8b16fca45a51b4a9808ab3bb4c0a1153da6467f017bd67ff80
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