Instructions to use stojchet/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stojchet/test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-1.3b-base") model = PeftModel.from_pretrained(base_model, "stojchet/test") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from stojchet/test: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/stojchet/test/resolve/main/training_args.bin
- Command line
-
hf download hf://stojchet/test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/stojchet/test/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 4745863fbd48b63bca51be84646b4f742bf1babba39b5c6a24ce4c39d805b53c
- Size of remote file:
- 5.11 kB
- SHA256:
- 7df6ac11044a7a94d50d67d15c7d8282cee9cf6300f79612a147e9f1c66fe786
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