Instructions to use infogep/3cf595e8-8aae-4e79-9751-d0227175705f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use infogep/3cf595e8-8aae-4e79-9751-d0227175705f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("lcw99/zephykor-ko-7b-chang") model = PeftModel.from_pretrained(base_model, "infogep/3cf595e8-8aae-4e79-9751-d0227175705f") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from infogep/3cf595e8-8aae-4e79-9751-d0227175705f: direct link, hf CLI and curl.
- Browser
- Download file 84 MB
-
https://huggingface.co/infogep/3cf595e8-8aae-4e79-9751-d0227175705f/resolve/main/adapter_model.bin
- Command line
-
hf download hf://infogep/3cf595e8-8aae-4e79-9751-d0227175705f/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/infogep/3cf595e8-8aae-4e79-9751-d0227175705f/resolve/main/adapter_model.bin
84 MB
- Xet hash:
- 90b13c005e74a4fdf9cdf28aa4b4ea7a80ea12192fc6606c3c5ae6b8ca0f4e26
- Size of remote file:
- 84 MB
- SHA256:
- 6a3353c5ec8c4d3a0d21f91fa768c0de65fde0afb6044be4b121032633225457
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