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-00001-of-00002.safetensors from charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4: direct link, hf CLI and curl.
- Browser
- Download file 4.99 GB
-
https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/e896851603fe874a2db09ef09766f9109ee79b4a/model-00001-of-00002.safetensors
- Command line
-
hf download hf://charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4@e896851603fe874a2db09ef09766f9109ee79b4a/model-00001-of-00002.safetensors
-
curl -L -o model-00001-of-00002.safetensors https://huggingface.co/charlesfrye/ap-xSqNwzGtnWYrDqwzSihwx4/resolve/e896851603fe874a2db09ef09766f9109ee79b4a/model-00001-of-00002.safetensors
4.99 GB
- Xet hash:
- 23baca5134c6a26c049e7c3fd25b2ed8e61dcb7943bf7107222380821d7ea98b
- Size of remote file:
- 4.99 GB
- SHA256:
- 619fb21bbfe2b230e134db5a9756f45fb0b8b12833372521b830a8cd2f630c03
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