Instructions to use duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-random-GemmaForCausalLM") model = PeftModel.from_pretrained(base_model, "duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851: direct link, hf CLI and curl.
- Browser
- Download file 14.4 kB
-
https://huggingface.co/duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851/resolve/e545d094a16d9ffe1490a3c3416ec396deea635a/adapter_model.bin
- Command line
-
hf download hf://duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851@e545d094a16d9ffe1490a3c3416ec396deea635a/adapter_model.bin
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curl -L -o adapter_model.bin https://huggingface.co/duyphu/2669ffe1-353c-28d1-d7a2-dd2d71c39851/resolve/e545d094a16d9ffe1490a3c3416ec396deea635a/adapter_model.bin
14.4 kB
- Xet hash:
- 3e6d9b68a7659261734ba2f80f67ffa7547900d5ec6ffe573890827a9d7b7175
- Size of remote file:
- 14.4 kB
- SHA256:
- c8c7240c62e224ac81531a8d44267a706f35555cf74c7aefdb905beb88c1b75e
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