Instructions to use alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama_v1.1") model = PeftModel.from_pretrained(base_model, "alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/8ddc7444-4f06-486b-add5-be695ba775a1/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 8c51993497339af4b9a6c0eea0fdad2e4448aa04553bfaca6006890d75fa93ee
- Size of remote file:
- 6.84 kB
- SHA256:
- 18aae70149cd984accf0ba88ea38221fd9f9ae397ffd9bf778e2cb517d9d37a6
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