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:
- a0d72f74a63ce9cb7cfc3066e400f7a2f435ed9fe223c39b39b86955784a4311
- Size of remote file:
- 497 MB
- SHA256:
- 2b244c3a408c4ad80fb17a35e824749db44a7b46cee8f13b86b9595ebcca367a
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