Instructions to use proseph/ctrlv-speechrecognition-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use proseph/ctrlv-speechrecognition-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="proseph/ctrlv-speechrecognition-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("proseph/ctrlv-speechrecognition-model") model = AutoModelForCTC.from_pretrained("proseph/ctrlv-speechrecognition-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from proseph/ctrlv-speechrecognition-model: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/proseph/ctrlv-speechrecognition-model/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://proseph/ctrlv-speechrecognition-model@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/proseph/ctrlv-speechrecognition-model/resolve/refs%2Fpr%2F1/training_args.bin
2.86 kB
- Xet hash:
- a26dfd861a3f066112a30f99e094e13be62ea7aec23fcb8b77221f9f9785ce81
- Size of remote file:
- 2.86 kB
- SHA256:
- 13b891205b3a669339abedabac43546a4013e8636c9020205b4da2e652f4fb56
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