Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
data2vec-audio
Generated from Trainer
Eval Results (legacy)
Instructions to use None58/my_awesome_asr_mind_model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use None58/my_awesome_asr_mind_model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="None58/my_awesome_asr_mind_model3")# Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("None58/my_awesome_asr_mind_model3") model = AutoModelForCTC.from_pretrained("None58/my_awesome_asr_mind_model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7add2c70e439ac91bca7cb1c5336012482e471dd2b4daedb0cfab5f6ffb09ad0
- Size of remote file:
- 5.3 kB
- SHA256:
- 698f559e55ab2df548c6e663a03180c28de58d1f37724ad088756c7eac2f6e6d
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