Instructions to use Raneechu/textbook2_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Raneechu/textbook2_ft 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, "Raneechu/textbook2_ft") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Raneechu/textbook2_ft: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Raneechu/textbook2_ft/resolve/main/training_args.bin
- Command line
-
hf download hf://Raneechu/textbook2_ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Raneechu/textbook2_ft/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- f56009711f8225b549db848955384a8ba7d65d3efe40539aba0da6206fbd68f4
- Size of remote file:
- 5.05 kB
- SHA256:
- e30b44e584e80d54923e066f1c3013548d3807703c5ef18d929a5901c5ebc008
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