Instructions to use hasdal/206aee89-4e53-4573-ac6b-1a5fc91242c3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hasdal/206aee89-4e53-4573-ac6b-1a5fc91242c3 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, "hasdal/206aee89-4e53-4573-ac6b-1a5fc91242c3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2744ee17cd7ade8f3dfec12563d75ddee5ce0250b6d669f98fc9d26eb210c750
- Size of remote file:
- 6.78 kB
- SHA256:
- 695dfa29827ae1335a04a0297d33d4f6e25089dbecfe749e4d41691112ebd095
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