Automatic Speech Recognition
Transformers
English
Chinese
Punctuation-Restoration
Punctuation-Prediction
Token Classification
BERT
LERT
audio
asr
Instructions to use FireRedTeam/FireRedPunc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FireRedTeam/FireRedPunc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FireRedTeam/FireRedPunc")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FireRedTeam/FireRedPunc", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a1309e76c5d299bd6100e45e26a6a179b06420e2e34cd55beb02036bbdb2f78
- Size of remote file:
- 412 MB
- SHA256:
- b4ef03ee5a6ea58f973a2fe8fce42ba5d1cb006e5646c5cb32d421e9934c242d
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