Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-sql with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-sql")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-sql") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-sql") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ffbdecca71d0b02cd16b6fbee903cb0c2a5c6c2c481640f990b124ceddeecf4
- Size of remote file:
- 497 MB
- SHA256:
- eed65d15e563cc53c8b6d086e261febdb4c87bacaeefa47dfd3daa906088822a
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