Instructions to use adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739 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, "adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739/resolve/main/training_args.bin
- Command line
-
hf download hf://adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- d31a926a77c1cb2f329699fb4d048bef7ef18034ce95cecddc8b5d1dca3eda33
- Size of remote file:
- 6.78 kB
- SHA256:
- ce2117b6f1bdd024ee75f8492b1f50a35e332379dcf615aefecf8e5b884fd50e
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