Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
timit_asr
Generated from Trainer
Eval Results (legacy)
Instructions to use subatomicseer/wav2vec2-base-hyperVQ-timit-fine-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subatomicseer/wav2vec2-base-hyperVQ-timit-fine-tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="subatomicseer/wav2vec2-base-hyperVQ-timit-fine-tuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("subatomicseer/wav2vec2-base-hyperVQ-timit-fine-tuned") model = AutoModelForCTC.from_pretrained("subatomicseer/wav2vec2-base-hyperVQ-timit-fine-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
2aadefc
1
Parent(s): 23741f5
Training in progress, step 1450
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