Text Classification
Transformers
PyTorch
English
distilbert
message-classification
question-detection
text-embeddings-inference
Instructions to use Wyona/message-classification-question-other-smalltalk-modified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wyona/message-classification-question-other-smalltalk-modified with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wyona/message-classification-question-other-smalltalk-modified")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Wyona/message-classification-question-other-smalltalk-modified") model = AutoModelForSequenceClassification.from_pretrained("Wyona/message-classification-question-other-smalltalk-modified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9df5f4b
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README.md
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- message-classification
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- question-detection
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widget:
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- text: "Hello there, how are you"
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- text: "The highest mountain of Switzerland is the Dufourspitze"
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task_categories:
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- text-classification
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task_ids:
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- message-classification
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- question-detection
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widget:
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- text: "How are you"
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- text: "Hello there, how are you"
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- text: "Hello there, nice to meet you"
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- text: "The highest mountain of Switzerland is the Dufourspitze"
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- text: "Which ANN algorithm has Apache Lucene implemented"
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task_categories:
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- text-classification
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task_ids:
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