Audio Classification
Transformers
PyTorch
Safetensors
English
bert
text-classification
text
sequence-classification
en-atc
Generated from Trainer
bertraffic
Instructions to use Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc") model = AutoModelForSequenceClassification.from_pretrained("Jzuluaga/bert-base-speaker-role-atc-en-uwb-atcc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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