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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8b310cdfe8b5f815deb59a015056f324372017ef65e5fccc7427a940fc3565d
- Size of remote file:
- 497 MB
- SHA256:
- 5b22bf3fd90af35558f671eb571a423b4e9b54216ff7fec79b33b3b7c26774a0
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