Instructions to use susmitabhatt/whisper_aii_clp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use susmitabhatt/whisper_aii_clp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="susmitabhatt/whisper_aii_clp")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("susmitabhatt/whisper_aii_clp") model = AutoModelForSpeechSeq2Seq.from_pretrained("susmitabhatt/whisper_aii_clp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from susmitabhatt/whisper_aii_clp: direct link, hf CLI and curl.
- Browser
- Download file 967 MB
-
https://huggingface.co/susmitabhatt/whisper_aii_clp/resolve/main/model.safetensors
- Command line
-
hf download hf://susmitabhatt/whisper_aii_clp/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/susmitabhatt/whisper_aii_clp/resolve/main/model.safetensors
967 MB
- Xet hash:
- c4121e2b6c48f5d3c6ccca3dbb4b06b9765798ff6e62fc4ef8c8987c76ef1165
- Size of remote file:
- 967 MB
- SHA256:
- f34c4010044be4c5e4c96f1cf4636a9346b82bb01130974e46c0498b616fdd83
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