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.safetensors from aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a: direct link, hf CLI and curl.
- Browser
- Download file 93.6 kB
-
https://huggingface.co/aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/aleegis10/54ec9177-6b0c-4506-bd1b-e600cdfd9a1a/resolve/main/adapter_model.safetensors
93.6 kB
- Xet hash:
- 2465ddb290a353b00ac6d2996d9dff2e17cacfd1256b101813fc8cd22c3241cb
- Size of remote file:
- 93.6 kB
- SHA256:
- dd3fab31b179b02131d371ae86a986e37f1ca745cff5e26376f9b43c1e1cf380
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