Instructions to use ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("WhiteRabbitNeo/Llama-3-WhiteRabbitNeo-8B-v2.0") model = PeftModel.from_pretrained(base_model, "ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ivangrapher/11790f01-74e1-42f1-9103-6e6af08940f1/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- 1c9bdbc39cc6f7672498138019a5b81e683ae9879e292115f44aa25005fba407
- Size of remote file:
- 168 MB
- SHA256:
- 71efabd7ccf0a13a129fe9c18713511bb0080b545445313059d6a6f1978c4b38
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