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:
- 35fca2ad496fa0ae7c2fc6bef4dc7322391c452eb67a1c6980102d7437841fb6
- Size of remote file:
- 497 MB
- SHA256:
- 76f816790a3b6f4ab45fd9708760f7f99b76717b645b73ace5308f2cc0c4fa19
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