Instructions to use pnparam/PNP_dys_asr_960h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pnparam/PNP_dys_asr_960h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pnparam/PNP_dys_asr_960h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pnparam/PNP_dys_asr_960h") model = AutoModelForCTC.from_pretrained("pnparam/PNP_dys_asr_960h", 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 sha256:72362512ec3360c8c8d426d3b358252f671ea9f08d5694f1048ed2a8d887fea7
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size 1261905824
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