Instructions to use gautamtata/colab_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gautamtata/colab_test_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, Wav2Vec2ForSpeechClassification processor = AutoProcessor.from_pretrained("gautamtata/colab_test_model") model = Wav2Vec2ForSpeechClassification.from_pretrained("gautamtata/colab_test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update handler.py
6d23eb9
-
Update handler.py
8d6b413 -
Update handler.py
986c602 -
Update handler.py
e334f76 -
Update handler.py
9705ce9 -
Update requirements.txt
4d96b82 -
Modifying to accept file URL from the Supabase
3c03da2 -
Update handler.py
f41ae34 -
Create requirements.txt
3fd5af3 -
Update handler.py
5d7fda2 -
Delete requirements.txt
3db4497 -
Update requirements.txt
930562d -
Create requirements.txt
ec9d829 -
Delete requirements.txt
d674cd2 -
Update handler.py
c645001 -
Update requirements.txt
96fd59e -
Update requirements.txt
4af5e1f -
Update handler.py
55f426d -
Copying colab env
7bb4913 -
Update requirements.txt
2d003b8 -
Create requirements.txt
c555185 -
Create handler.py
38c2b04 -
New commit for test checkpoint from google colab
d415c99 -
initial commit
7a29d52