Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Portuguese
sew
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Instructions to use lgris/sew-tiny-portuguese-cv7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgris/sew-tiny-portuguese-cv7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="lgris/sew-tiny-portuguese-cv7")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("lgris/sew-tiny-portuguese-cv7") model = AutoModelForCTC.from_pretrained("lgris/sew-tiny-portuguese-cv7", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from lgris/sew-tiny-portuguese-cv7: direct link, hf CLI and curl.
- Browser
- Download file 163 MB
-
https://huggingface.co/lgris/sew-tiny-portuguese-cv7/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://lgris/sew-tiny-portuguese-cv7/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/lgris/sew-tiny-portuguese-cv7/resolve/main/pytorch_model.bin
163 MB
- Xet hash:
- c12136d190f49f323cde30625a72ed4428e8038711eee17e9d249653736df677
- Size of remote file:
- 163 MB
- SHA256:
- 4da5515fdec97ffd7582f9ad2a0e12733221c145e45d5320f6827ed598a9b716
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