Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-java")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-java") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-java") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a438b4578daddb85b00a51db323597998e9b039135d8bedf871215236061b0a
- Size of remote file:
- 497 MB
- SHA256:
- 4f8c7fcf9f57191a1655668a6901293627e941cdc54080279f46320b6be77ef8
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