Instructions to use LightChen2333/deberta-v3-dpf-mix-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/deberta-v3-dpf-mix-atis with Transformers:
# Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/deberta-v3-dpf-mix-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LightChen2333/deberta-v3-dpf-mix-atis: direct link, hf CLI and curl.
- Browser
- Download file 827 MB
-
https://huggingface.co/LightChen2333/deberta-v3-dpf-mix-atis/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LightChen2333/deberta-v3-dpf-mix-atis/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LightChen2333/deberta-v3-dpf-mix-atis/resolve/main/pytorch_model.bin
827 MB
- Xet hash:
- c97f9bbd7fae3062fde14bb8dbfb16cd7265a709e0dbd77c6d0f75a4f75ce0f7
- Size of remote file:
- 827 MB
- SHA256:
- a4ba6f1da3281af05324acc05cfeab7610236befae368c6557c4788093bb30fd
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.