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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f619a2432dfa3208bdb23e45714bb37ed9a2ebf760d7594f8fb61ff6e52e7587
- Size of remote file:
- 5.3 kB
- SHA256:
- 08dda137201ebeb848d47fbb8cd6bf5a87b99a2685899659a303d1482720c0ee
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