Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-c")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-c") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-c") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d959621986895e2364a94944442e25aea5bba1aa31ca919ba182d82ab5ae9bd4
- Size of remote file:
- 497 MB
- SHA256:
- b2ba7c3c56289c51669b231dddb421fe98c24efa72f63efafec89523aa867c39
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