Instructions to use hoangdeeptry/whisper-small-collected-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hoangdeeptry/whisper-small-collected-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hoangdeeptry/whisper-small-collected-data")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hoangdeeptry/whisper-small-collected-data") model = AutoModelForSpeechSeq2Seq.from_pretrained("hoangdeeptry/whisper-small-collected-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b9e7b27496454a043572f8d96b56eb0b38b01a6fc4b9e664b71e83cbff895419
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size 966995136
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