Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-markdown with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-markdown with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-markdown")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-markdown") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-markdown") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b625555f612dca4ea5091158ce1bf4a25ef19130147d5033207e5f3a97913096
- Size of remote file:
- 497 MB
- SHA256:
- 7382dd2fe917c4887d68a488f830fbd632a8be6a47edb17e6a443121f50dbee6
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