Instructions to use joaoalvarenga/model-sid-voxforge-cv-cetuc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joaoalvarenga/model-sid-voxforge-cv-cetuc-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joaoalvarenga/model-sid-voxforge-cv-cetuc-2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-2") model = AutoModelForCTC.from_pretrained("joaoalvarenga/model-sid-voxforge-cv-cetuc-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from joaoalvarenga/model-sid-voxforge-cv-cetuc-2: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-2/resolve/refs%2Fpr%2F1/flax_model.msgpack
- Command line
-
hf download hf://joaoalvarenga/model-sid-voxforge-cv-cetuc-2@refs/pr/1/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/joaoalvarenga/model-sid-voxforge-cv-cetuc-2/resolve/refs%2Fpr%2F1/flax_model.msgpack
1.26 GB
- Xet hash:
- 3f3e927414a1520b11ad5e94b4d2848a661949140fc1ec027e83b209d10430ff
- Size of remote file:
- 1.26 GB
- SHA256:
- 3d247efe2600e98a09d81e1499c1abd3e87dfa11c35c8c2af74315d88bdf3a28
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