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:
- b23fd9539fe12474a785e7399cdb3d9fae1075b6dbac9875c6fa52b71a02ff87
- Size of remote file:
- 5.3 kB
- SHA256:
- 88ac6e93be17eb3e0e5f326c051072452ed86a598c1226ee334b3db7fbf228b6
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