Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-rust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-rust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-rust")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-rust") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-rust") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab41c5084a54265b6b3adb679d262cf205dc99743d1b5d7a2d44998068cd06b3
- Size of remote file:
- 497 MB
- SHA256:
- 753e710b9f36876b01550fa0ff83f2883fb9199d284946754978acb9cf8ad3b3
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