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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c4bc024d8909bd4510ee68561eae7b3cf2aff4da00a9bae84f018bcc0561883
- Size of remote file:
- 497 MB
- SHA256:
- 26c04e13879b28896bef430e63c7d9d5280c7d4617671d674c7695a1825e2276
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