Instructions to use vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe 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, "vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vdos/8ded75f8-c1ce-4fa9-8722-9b3b33acebbe/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- 1651ef8c7905aee52380734414626a5cea2aca9034cbe5fe44427d9e8d1bac92
- Size of remote file:
- 6.84 kB
- SHA256:
- d35ffbc5ed7279a85b3fd515ea7b2d4009035cc48eb63907fe544857f0bab16d
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