Instructions to use error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Vikhrmodels/Vikhr-7B-instruct_0.4") model = PeftModel.from_pretrained(base_model, "error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/aeff5bfe-6889-4cff-a4c2-e5ef91af320c/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 6eed47b69718ecd9bb5a8aba4ae710c437eea440ab14d52cf30f3fc5e0f38191
- Size of remote file:
- 6.78 kB
- SHA256:
- 2a0f802361e7d4ff965c2243609680b1fcf327f5a2f5e825bea35cfb3727ce91
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