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:
- 0d7023a420a995583e71e78f6519ae0c78ebcc85bb00139cd401edc0da37d3fc
- Size of remote file:
- 407 MB
- SHA256:
- 9a69e465132c79f639ba5a057cf06c90b2d7e36e4bbea56225ece260dcd0b0d4
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