Instructions to use tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/resolve/main/training_args.bin
- Command line
-
hf download hf://tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tarabukinivan/56e86a71-1626-4b55-9e18-29372de0a846/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 87f188646d3ec97a208d4dea56810b0f403cde9c55b247b49f4de4e334aa2441
- Size of remote file:
- 6.78 kB
- SHA256:
- cae884077da642ac1c112298c8466221ea3ca06b71bdb91c104f2e71798c4280
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