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:
- 7dd5fff89d649e5eb8fb683a158f10c96daa1accf8a468270eb88556742faaef
- Size of remote file:
- 497 MB
- SHA256:
- bc339102ccd4f4b344f3e95bbef57377c61fe72187af4f795ce92100d5f2b224
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