Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
English
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use figfig/local_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use figfig/local_test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="figfig/local_test_model")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("figfig/local_test_model") model = AutoModelForSpeechSeq2Seq.from_pretrained("figfig/local_test_model") - 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:d7fdef9dc9019192d97cdf98d1ac6b641c37c50b75cc138a9f621cb69e023149
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size 966995080
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