Instructions to use dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4 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, "dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4: direct link, hf CLI and curl.
- Browser
- Download file 141 MB
-
https://huggingface.co/dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4/resolve/main/adapter_model.bin
- Command line
-
hf download hf://dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/dimasik2987/a39a415b-a5eb-4246-ba2b-ab44574808e4/resolve/main/adapter_model.bin
141 MB
- Xet hash:
- a53488984ebc963bb16b916d9bcbda53076af87f75111803743bfbf6e9f8f5e5
- Size of remote file:
- 141 MB
- SHA256:
- 44973cd4bcc02fc1500ebf79eebcaaf7b1c1136d8b6f97859d0c6b8e6ee19d75
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