Instructions to use yangwang825/mert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yangwang825/mert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="yangwang825/mert-base", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yangwang825/mert-base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update modeling_mert.py
40d0bce -
Update modeling_mert.py
9f6a578 -
Update configuration_mert.py
724ef83
-
Update README.md
770976b -
Update README.md
9f2da8c -
Update README.md
f843c4c -
Update README.md
3c63982 -
Update README.md
0a27f36 -
Update README.md
41ff167 -
Update README.md
ee4b339 -
Update README.md
46ae83f -
Update README.md
10b7c7b -
Create README.md
dbde56d -
Update config.json
cd6fd2a -
Update config.json
c1841c7 -
Upload feature extractor
21ab90e -
Upload config
f946d8d -
Upload config
c1ae634 -
Upload MERTForSequenceClassification
7c2eaae -
initial commit
3b0efa0