Instructions to use demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Mistral-7B") model = PeftModel.from_pretrained(base_model, "demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f/resolve/7a20b5cbae3a8996bcbfffd8e69676ee33ffa023/training_args.bin
- Command line
-
hf download hf://demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f@7a20b5cbae3a8996bcbfffd8e69676ee33ffa023/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/demohong/8673e8d6-92cb-4d14-bbc7-1e4e60eb7f8f/resolve/7a20b5cbae3a8996bcbfffd8e69676ee33ffa023/training_args.bin
6.78 kB
- Xet hash:
- 4375b3ce501e351de9c4f5d4b767b7dd6656c62d91cb5ad8e8c1c0919dd25d1f
- Size of remote file:
- 6.78 kB
- SHA256:
- cd98b318e28a28e66d4aae84b957300dc25e8e0ef87b74e2c2a8305afd04c0fa
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