Instructions to use frankjosh/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use frankjosh/model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigcode/starcoderbase-1b") model = PeftModel.from_pretrained(base_model, "frankjosh/model") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from frankjosh/model: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/frankjosh/model/resolve/main/training_args.bin
- Command line
-
hf download hf://frankjosh/model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/frankjosh/model/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- 9e8ef44765a31451909991a95f3903a7e194e96827014fa7ba26dc77c748aa60
- Size of remote file:
- 5.37 kB
- SHA256:
- ce9803d5c43d9de136af4b38d9e8aee82a39d1d7f50d09adc9a11c010e7041cb
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