Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-rust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-rust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-rust")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-rust") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-rust") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c69ebb545c2ad251458b263ffcb461f73ed286f91c055ac7694445e7327e1b0
- Size of remote file:
- 5.3 kB
- SHA256:
- 0d680fa5c08c4c690130d75fcb83b4d5ddac72b9e628c9ea4735aa26a0bc4cdf
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