Instructions to use pp-beta/newmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pp-beta/newmodel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Hermes-2-Mistral-7B-DPO") model = PeftModel.from_pretrained(base_model, "pp-beta/newmodel") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-804/training_args.bin from pp-beta/newmodel: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/pp-beta/newmodel/resolve/main/checkpoint-804/training_args.bin
- Command line
-
hf download hf://pp-beta/newmodel/checkpoint-804/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/pp-beta/newmodel/resolve/main/checkpoint-804/training_args.bin
6.78 kB
- Xet hash:
- 487b7c006ff3bbbcb0b19bcef1a39e4acbf964926df64d05d1a9eb0844a9084c
- Size of remote file:
- 6.78 kB
- SHA256:
- f718fd33a2e6d902c835f6a4079d56fd7c1f1f2b1468872a64c0d3cd5eef86de
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