Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-typescript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-typescript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-typescript")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-typescript") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-typescript") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 819fd84afb654913d1e439552082e1a8a82cbc9aa7e4832275e8842fee27cd59
- Size of remote file:
- 5.37 kB
- SHA256:
- cf2c5b19df03d02089bcd1fbee856d50435906786e4404b7519c8126fa1485a6
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