Instructions to use language-ml-lab/classification-azb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/classification-azb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="language-ml-lab/classification-azb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/classification-azb") model = AutoModelForSequenceClassification.from_pretrained("language-ml-lab/classification-azb") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 0b7159a
Update config.json
Browse files- config.json +0 -1
config.json
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{
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"_name_or_path": "language-ml-lab/AzerBert",
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"architectures": [
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"BertForSequenceClassification"
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],
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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