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")
https://huggingface.co/mohitsha/whisper-tiny-static-shape-quantized-SL-448/resolve/main/tokenizer.json
hf download hf://mohitsha/whisper-tiny-static-shape-quantized-SL-448/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/mohitsha/whisper-tiny-static-shape-quantized-SL-448/resolve/main/tokenizer.json
