Instructions to use nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d 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, "nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/training_args.bin from nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d: direct link, hf CLI and curl.
- Browser
- Download file 6.84 kB
-
https://huggingface.co/nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d/resolve/main/last-checkpoint/training_args.bin
- Command line
-
hf download hf://nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d/last-checkpoint/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nttx/df384d1e-5be4-4c55-9aa5-d933363d1b2d/resolve/main/last-checkpoint/training_args.bin
6.84 kB
- Xet hash:
- a9366faa412c3fa9341ce22a86e1a35db3725e33ecfab24a687285fe613a3b69
- Size of remote file:
- 6.84 kB
- SHA256:
- 9d00ed657f3c8de4586d4b02ab1e93496cf6f246bc8761d947f180e39a019a79
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.