Instructions to use LightChen2333/joint-bert-slu-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LightChen2333/joint-bert-slu-atis with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import PretrainedModelForSLUToSave model = PretrainedModelForSLUToSave.from_pretrained("LightChen2333/joint-bert-slu-atis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload 3 files
4d4431c
-
Upload 3 files
b7dc226 -
Upload 3 files
4d4c02f
-
Upload 3 files (#1)
- Upload 3 files (b28a80c8fbfbe5251a7972635ac05cbb3ee232e5)396b8d3
-
Upload tokenizer.pkl
c3eb9c7 -
Upload tokenizer.pkl
6bce90f -
Upload tokenizer.pkl
86b145a -
Upload vocab.txt
3512687 -
Upload config.json
21e13da -
Upload config.json
f9154dd -
Upload config.json
96016f8 -
Upload 2 files
e02fd23 -
initial commit
385c10b