Instructions to use Raffay/local_speech_processing_project_wav2vec2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raffay/local_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/local_speech_processing_project_wav2vec2")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Raffay/local_speech_processing_project_wav2vec2") model = AutoModelForCTC.from_pretrained("Raffay/local_speech_processing_project_wav2vec2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Raffay/local_speech_processing_project_wav2vec2: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/Raffay/local_speech_processing_project_wav2vec2/resolve/d49c426a70acee94ed54df7f8cf5f322f52688ec/pytorch_model.bin
- Command line
-
hf download hf://Raffay/local_speech_processing_project_wav2vec2@d49c426a70acee94ed54df7f8cf5f322f52688ec/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Raffay/local_speech_processing_project_wav2vec2/resolve/d49c426a70acee94ed54df7f8cf5f322f52688ec/pytorch_model.bin
378 MB
- Xet hash:
- 72cd5a8930c660348df4d8fbd9c1892da3aa7714581a603a73cabcf3892cd5e6
- Size of remote file:
- 378 MB
- SHA256:
- 077507819ff680f393e6efa0b207d28f028cd6a5a8a0b6d28d500bfe9a3ad74b
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