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bert-text-classification
areumtecnologia/bert-text-classification
bert-text-classification is a text classification model from areumtecnologia. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This model is a test for educational proposits.
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024
- SHA
- abd598f6
Try a prompt
Model card
From the Hugging Face model README
This model is a test for educational proposits.
To use:
<code> from transformers import pipelineclassifier = pipeline("sentiment-analysis", model="areumtecnologia/bert-text-classification", tokenizer="areumtecnologia/bert-text-classification")
texts = ["I love this movie!", "This is a terrible movie.", "Awesome!", "Very bad!"] results = classifier(texts)
for text, result in zip(texts, results): print(f"Text: {text}\nPrediction: {result}\n") </code>
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 21, 2024
- Updated
- Jun 21, 2024