Instructions to use ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb/resolve/88d987f24d05d747fe4856073407b8b172dad75f/training_args.bin
- Command line
-
hf download hf://ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb@88d987f24d05d747fe4856073407b8b172dad75f/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ivangrapher/47b67217-12ba-4544-bb3d-144730fcdeeb/resolve/88d987f24d05d747fe4856073407b8b172dad75f/training_args.bin
6.78 kB
- Xet hash:
- 633ab744230637b6f5fa68c88dace9df01dc8a78015bab1e100b9f3ff3930c30
- Size of remote file:
- 6.78 kB
- SHA256:
- f47b693a9b0ddaf9103f4a2febba74c9b19ad8b9ae51bb1b304e64320166fe8c
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