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")# 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:
- d82c6ec46db0b1a0c23427df95e76bfefc6befc7ba42901368224ed3c23b33a5
- Size of remote file:
- 497 MB
- SHA256:
- 0853eab36edad6b096d9949ab471136d623d595dde0d67bc8b3c983dcb56e742
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