Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-php with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-php with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-php")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-php") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-php") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76e2ff0c01b7debb295f1b10a111f070163fc1d5a2dfef6f917a878bec4a324d
- Size of remote file:
- 497 MB
- SHA256:
- 296ca34304ff40b2650927f11c6120e6dcacbe3e83905d7018bf1f76847a60b5
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