Automatic Speech Recognition
Transformers
PyTorch
Hebrew
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Alex2575/aleksis_heb_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alex2575/aleksis_heb_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alex2575/aleksis_heb_small")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Alex2575/aleksis_heb_small") model = AutoModelForMultimodalLM.from_pretrained("Alex2575/aleksis_heb_small") - 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 sha256:990d3702ff4496646d887090a8bba1744c45f28917282e96d5982a8a26ee24d9
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size 966995136
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