Instructions to use Jacksss123/net15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jacksss123/net15 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "Jacksss123/net15") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Jacksss123/net15: direct link, hf CLI and curl.
- Browser
- Download file 6.03 kB
-
https://huggingface.co/Jacksss123/net15/resolve/main/training_args.bin
- Command line
-
hf download hf://Jacksss123/net15/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Jacksss123/net15/resolve/main/training_args.bin
6.03 kB
- Xet hash:
- 3ebefbe53ec1447d69704a1c17ac8f9e248d06d2240a400ca05d2ff7a5a402b6
- Size of remote file:
- 6.03 kB
- SHA256:
- bf73f3a8284437639babd422486714f9cd6423da95c1b2d807d1a305e2584b03
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