Instructions to use 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from 1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35: direct link, hf CLI and curl.
- Browser
- Download file 48.6 kB
-
https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/1-lock/aba53603-c1e7-44b1-a8d2-a464157f7d35/resolve/main/adapter_model.safetensors
48.6 kB
- Xet hash:
- 2f79d809d95cf91bd964208bd9178108954c09b079ed6e941524cabde75a42da
- Size of remote file:
- 48.6 kB
- SHA256:
- 55dfbe1dc53fc298268e690577b96427378c308a34b28f6f04c151e163837ffe
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