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:
- 4f913f7174f377b02c5c955a9f643680c25654dcaae9eb1a31ee6ddf006144a8
- Size of remote file:
- 497 MB
- SHA256:
- e822e004a2e57e0d65f1294d72264f4b8d1c0aade74b2ad4c3fcd697d0491dbe
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