Instructions to use mohitsha/whisper-tiny-static-shape-quantized-SL-448 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mohitsha/whisper-tiny-static-shape-quantized-SL-448 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mohitsha/whisper-tiny-static-shape-quantized-SL-448")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mohitsha/whisper-tiny-static-shape-quantized-SL-448") model = AutoModelForSpeechSeq2Seq.from_pretrained("mohitsha/whisper-tiny-static-shape-quantized-SL-448", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download encoder_model.onnx from mohitsha/whisper-tiny-static-shape-quantized-SL-448: direct link, hf CLI and curl.
- Browser
- Download file 32.9 MB
-
https://huggingface.co/mohitsha/whisper-tiny-static-shape-quantized-SL-448/resolve/main/encoder_model.onnx
- Command line
-
hf download hf://mohitsha/whisper-tiny-static-shape-quantized-SL-448/encoder_model.onnx
-
curl -L -o encoder_model.onnx https://huggingface.co/mohitsha/whisper-tiny-static-shape-quantized-SL-448/resolve/main/encoder_model.onnx
32.9 MB
- Xet hash:
- a54140b5d8c80302ca4bc5ea33534bb0449bb8284ec7fffa77b282aa69f4aa0a
- Size of remote file:
- 32.9 MB
- SHA256:
- 642c7c3ca306ff2ff4f773e950b65341ff6956bcedda627e7ed1b571a0736614
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