Instructions to use nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3 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, "nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/resolve/main/training_args.bin
- Command line
-
hf download hf://nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nadejdatarabukina/f9f1d1ec-0c69-420e-837a-9c786b0732d3/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 79c47023aace83cf17225dfc8707005907df82e6e5cc9b46f3067989b449e311
- Size of remote file:
- 6.78 kB
- SHA256:
- 8fb3c8bf97059fd1a8a66c1a7fc47340410ad0e4154fd7fb567c9b96390dfd8c
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