Automatic Speech Recognition
Transformers
PyTorch
English
bert
text-classification
exbert
autotrain-compatible
Instructions to use danielsc/bert_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielsc/bert_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danielsc/bert_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danielsc/bert_test") model = AutoModelForSequenceClassification.from_pretrained("danielsc/bert_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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datasets:
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- bookcorpus
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- wikipedia
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# BERT base model (cased)
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datasets:
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- bookcorpus
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- wikipedia
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pipeline_tag: automatic-speech-recognition
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# BERT base model (cased)
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