Instructions to use eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b 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, "eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b: direct link, hf CLI and curl.
- Browser
- Download file 48.6 kB
-
https://huggingface.co/eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/eeeebbb2/2d0d5973-48d1-4d92-abc3-ec4e8f163f0b/resolve/main/adapter_model.safetensors
48.6 kB
- Xet hash:
- 5c93aed6a95b8547e329d19537d6f5db3714d29b2274ef85b5d3b85e3d6c14c2
- Size of remote file:
- 48.6 kB
- SHA256:
- 5d82d13a9ddbecdea53e626447682b1ed873378bc9a5756f91725290d5f64fd6
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