Instructions to use alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("scb10x/llama-3-typhoon-v1.5-8b-instruct") model = PeftModel.from_pretrained(base_model, "alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794/resolve/main/training_args.bin
- Command line
-
hf download hf://alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alchemist69/b05f7824-848a-4a13-a76f-f410b7da8794/resolve/main/training_args.bin
6.84 kB
- Xet hash:
- 07e6cf6c44c96f92855e93fe116ecfcedbc329fd8a0b5121596a25f7819f4929
- Size of remote file:
- 6.84 kB
- SHA256:
- 3809633f9b5b04371202a45e3f747c1452db9f0fabcd021ac44013052b8e33c4
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