Instructions to use janny127/TrainedModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use janny127/TrainedModel with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "janny127/TrainedModel") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-12/training_args.bin from janny127/TrainedModel: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/janny127/TrainedModel/resolve/main/checkpoint-12/training_args.bin
- Command line
-
hf download hf://janny127/TrainedModel/checkpoint-12/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/janny127/TrainedModel/resolve/main/checkpoint-12/training_args.bin
4.98 kB
- Xet hash:
- d10ed0b44e8df817ea8e39af77099f2f0e5ea5f0d2761afa6bd00cc5b4a7ba16
- Size of remote file:
- 4.98 kB
- SHA256:
- 44ea2d8505a03f200f93a5db9da3aac912ff68473d6ad04aa1edcf45011328d6
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