Instructions to use mamung/2c15f6fc-8832-491b-bb73-ac4775664582 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mamung/2c15f6fc-8832-491b-bb73-ac4775664582 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "mamung/2c15f6fc-8832-491b-bb73-ac4775664582") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mamung/2c15f6fc-8832-491b-bb73-ac4775664582: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/mamung/2c15f6fc-8832-491b-bb73-ac4775664582/resolve/ef9a28e5cd79b8c5dbba323d0ea7e49ae73e266b/training_args.bin
- Command line
-
hf download hf://mamung/2c15f6fc-8832-491b-bb73-ac4775664582@ef9a28e5cd79b8c5dbba323d0ea7e49ae73e266b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mamung/2c15f6fc-8832-491b-bb73-ac4775664582/resolve/ef9a28e5cd79b8c5dbba323d0ea7e49ae73e266b/training_args.bin
6.84 kB
- Xet hash:
- 8bbb617e91ba27a8a790dbcfd8e25f75358a11b12ee0a70587addbe0f5994f13
- Size of remote file:
- 6.84 kB
- SHA256:
- 64071923b1c35b1979b34b56953a2032aebf409e4bcb92df31e28464d9b78e82
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