Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-shell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-shell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-shell", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-shell") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-shell", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f492fe67951c92be0e36636b0adc130c008f9612c7815442753cd2fc3f0e7413
- Size of remote file:
- 497 MB
- SHA256:
- b69e7448c5d538ec0e49830d08f95acf21027370cb8edc117cf2766e13df7037
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