Instructions to use shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03: direct link, hf CLI and curl.
- Browser
- Download file 80.1 MB
-
https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/main/adapter_model.bin
- Command line
-
hf download hf://shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/shibajustfor/ca090f5f-b8c0-437a-9443-917c9d145d03/resolve/main/adapter_model.bin
80.1 MB
- Xet hash:
- e3acebb154c2ae0863f11fc629b77ba74f00a190ae39f6deff780078849579e3
- Size of remote file:
- 80.1 MB
- SHA256:
- 87f1030aa09c8f2e16f93ec9093b21bb0b4ab9f88dd8c2b1a8b9606f06e89287
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