Instructions to use goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/a67c6c00-95bf-4087-a1af-b6ce6bc91438") model = PeftModel.from_pretrained(base_model, "goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d: direct link, hf CLI and curl.
- Browser
- Download file 48.8 MB
-
https://huggingface.co/goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/resolve/main/adapter_model.bin
48.8 MB
- Xet hash:
- 4bab8ab79dfa323bede562a24cf50270911fd064cd38ef0c1a01a47fc930f56c
- Size of remote file:
- 48.8 MB
- SHA256:
- 377c7c837be9ccba5ec6eebdc17f69443c192620e9eaf256466a3cc1b0cdbb92
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