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
- Xet hash:
- 6e37d6b73b3fa79276b039d7ddd196b7ba8f399dc5021359dfa97ecc291ad39b
- Size of remote file:
- 711 kB
- SHA256:
- d241a60d5e8f04cc1b2b3e9ef7a4921b27bf526d9f6050ab90f9267a1f9e5c66
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