Text Classification
Transformers
PyTorch
Safetensors
English
bert
feature-extraction
Eval Results (legacy)
text-embeddings-inference
Instructions to use shhossain/bert-tiny-book-text-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shhossain/bert-tiny-book-text-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shhossain/bert-tiny-book-text-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("shhossain/bert-tiny-book-text-classifier") model = AutoModel.from_pretrained("shhossain/bert-tiny-book-text-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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name: Text Classification
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dataset:
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type: shhossain/book-text-classifier
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name:
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split: test
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metrics:
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- type: accuracy
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name: Text Classification
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dataset:
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type: shhossain/book-text-classifier
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name: book-text-classifier
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split: test
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metrics:
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- type: accuracy
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