Instructions to use ALIGHASEMI931/finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALIGHASEMI931/finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ALIGHASEMI931/finetune")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ALIGHASEMI931/finetune") model = AutoModelForCTC.from_pretrained("ALIGHASEMI931/finetune") - 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 sha256:23acfb385a4e1a4e237c23773cb8871efe3997b451649cec0d57564c085fa71f
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size 1261971432
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