Instructions to use shibajustfor/39166851-a1e5-424c-aa59-17f916585b99 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shibajustfor/39166851-a1e5-424c-aa59-17f916585b99 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/CodeLlama-7b-hf-flash") model = PeftModel.from_pretrained(base_model, "shibajustfor/39166851-a1e5-424c-aa59-17f916585b99") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from shibajustfor/39166851-a1e5-424c-aa59-17f916585b99: direct link, hf CLI and curl.
- Browser
- Download file 80.1 MB
-
https://huggingface.co/shibajustfor/39166851-a1e5-424c-aa59-17f916585b99/resolve/main/adapter_model.bin
- Command line
-
hf download hf://shibajustfor/39166851-a1e5-424c-aa59-17f916585b99/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/shibajustfor/39166851-a1e5-424c-aa59-17f916585b99/resolve/main/adapter_model.bin
80.1 MB
- Xet hash:
- e1c62669ceda2a0b1c2fa91e2e576fa97d9093aa80bccd6283c7db51c39cacdd
- Size of remote file:
- 80.1 MB
- SHA256:
- bcf017cb0d6ffc8d9b052d34593ea2ebb6b13b160057f604bb4a2f9e33c90cc2
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