Instructions to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Genstruct-7B") model = PeftModel.from_pretrained(base_model, "error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/resolve/main/training_args.bin
- Command line
-
hf download hf://error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/dce7896c-ee2c-41ab-a68f-e24dcdecad0e/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 1d477dea166d1e83d7ca6d5b286b5ee0360bf52948bf307144abd97d47282451
- Size of remote file:
- 6.78 kB
- SHA256:
- d084c02b5cdbdbb320414cfcc9d853380e808010c84a0102f338da720bf1f3e8
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