Instructions to use aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a: direct link, hf CLI and curl.
- Browser
- Download file 100 kB
-
https://huggingface.co/aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/resolve/main/adapter_model.bin
100 kB
- Xet hash:
- 8b4b9f6ca60bd7222701ec2863102ca01d6e3a248691da953a057dda809e9613
- Size of remote file:
- 100 kB
- SHA256:
- 6e7c9a1d979278ebeaa9b57e14e80f22e8a9919a90d30b2b901dd25d39e0f1ac
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