Text Classification
Transformers
PyTorch
ONNX
Safetensors
English
distilbert
neural-search
neural-search-query-classification
text-embeddings-inference
Instructions to use ilert/SoQbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ilert/SoQbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ilert/SoQbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ilert/SoQbert") model = AutoModelForSequenceClassification.from_pretrained("ilert/SoQbert") - Notebooks
- Google Colab
- Kaggle
Merge branch 'main' of hf.co:ilert/SoQbert
Browse files
README.md
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---
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license: apache-2.0
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base_model: distilbert/distilbert-base-uncased
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language:
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- en
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- neural-search
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- neural-search-query-classification
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---
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