Instructions to use ppparkker/for_test25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ppparkker/for_test25 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ppparkker/for_test25", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ppparkker/for_test25", trust_remote_code=True) model = AutoModelForCTC.from_pretrained("ppparkker/for_test25", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
dbc78ce | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:330b843313ed3aa1ce4232535b473c7b75a21ca61a7b1912ca5c78285b29c2c9
size 377648040
|