Instructions to use Raffay/org_speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffay/org_speech_processing_project_wav2vec2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Raffay/org_speech_processing_project_wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Raffay/org_speech_processing_project_wav2vec2") model = AutoModelForCTC.from_pretrained("Raffay/org_speech_processing_project_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Raffay/org_speech_processing_project_wav2vec2: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/Raffay/org_speech_processing_project_wav2vec2/resolve/main/training_args.bin
- Command line
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hf download hf://Raffay/org_speech_processing_project_wav2vec2/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/Raffay/org_speech_processing_project_wav2vec2/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- a284399ab6dbf9f575a81d63675cb20d0f0a739f600eba1c6a98055239915762
- Size of remote file:
- 3.06 kB
- SHA256:
- b7172bd558a49d5ee204b731e897e766e13a9863350a9a7171909191870499ea
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