Token Classification
Transformers
ONNX
Safetensors
English
bert
asr-post-processing
paragraph-segmentation
dictation
voice-notes
on-device
Instructions to use danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks") model = AutoModelForTokenClassification.from_pretrained("danielrosehill/MiniLM-L12-ASR-Paragraph-Breaks", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
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Card: on-device wording
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Card, configs, tokenizer, reference inference script
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initial commit
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