Instructions to use charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4") model = AutoModelForSpeechSeq2Seq.from_pretrained("charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00002-of-00002.safetensors from charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4: direct link, hf CLI and curl.
- Browser
- Download file 1.18 GB
-
https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/e896851603fe874a2db09ef09766f9109ee79b4a/model-00002-of-00002.safetensors
- Command line
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hf download hf://charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4@e896851603fe874a2db09ef09766f9109ee79b4a/model-00002-of-00002.safetensors
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curl -L -o model-00002-of-00002.safetensors https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/e896851603fe874a2db09ef09766f9109ee79b4a/model-00002-of-00002.safetensors
1.18 GB
- Xet hash:
- 1d1ae3aa0e32ebc8c6d6b814e0685afe8d069930e2e1042f7f5f9b89a826dd2a
- Size of remote file:
- 1.18 GB
- SHA256:
- 91b0af941c9cba608afbde6a7655df3a3c512b7e6614d6e4ae19186b95ef6b37
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