Text Classification
Transformers
Safetensors
Indonesian
bert
indobert
intent-classification
text-embeddings-inference
Instructions to use Firdania/sindesa-indobert-intent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Firdania/sindesa-indobert-intent with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Firdania/sindesa-indobert-intent")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Firdania/sindesa-indobert-intent") model = AutoModelForSequenceClassification.from_pretrained("Firdania/sindesa-indobert-intent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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license: mit
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license: mit
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language:
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- id
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base_model:
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- indobenchmark/indobert-base-p1
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pipeline_tag: text-classification
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library_name: transformers
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tags:
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- indobert
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- intent-classification
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- text-classification
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