Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-swift with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-swift with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-swift")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-swift") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-swift", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6215db8cdb1938d5ee93b1dd097b1e04dc7a0b90ce7b51bc2e30d70c6763881
- Size of remote file:
- 5.3 kB
- SHA256:
- 62c7855cc86014f2c218f3b7d28272c76f62db700c039a3a6ad288723568bf79
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