Instructions to use cdactvm/hf-open-assames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdactvm/hf-open-assames with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cdactvm/hf-open-assames")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cdactvm/hf-open-assames") model = AutoModelForCTC.from_pretrained("cdactvm/hf-open-assames") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
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:d6498cd0a3ecb6f9e02bfdf8f4c79cd302deb7e7eb56c2388dcbf55f6bab1f60
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size 377712580
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