Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-swift with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-swift with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-swift")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-swift") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-swift") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 517ed3b9602d50a068f44a1a2b1ee6166faef79d8886028488ba5da69e941e1b
- Size of remote file:
- 497 MB
- SHA256:
- 8300069638a1febcf189bc0d51b27fc2abad51d5a7573c078fa1ba8c6f921717
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