Text Classification
Transformers
Safetensors
code
bert
Generated from Trainer
text-embeddings-inference
Instructions to use HuggingFaceTB/stack-edu-classifier-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuggingFaceTB/stack-edu-classifier-sql with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HuggingFaceTB/stack-edu-classifier-sql")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HuggingFaceTB/stack-edu-classifier-sql") model = AutoModelForSequenceClassification.from_pretrained("HuggingFaceTB/stack-edu-classifier-sql", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download final/tokenizer.json from HuggingFaceTB/stack-edu-classifier-sql: direct link, hf CLI and curl.
- Browser
- Download file 2.06 MB
-
https://huggingface.co/HuggingFaceTB/stack-edu-classifier-sql/resolve/main/final/tokenizer.json
- Command line
-
hf download hf://HuggingFaceTB/stack-edu-classifier-sql/final/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/HuggingFaceTB/stack-edu-classifier-sql/resolve/main/final/tokenizer.json
2.06 MB
File too large to display, you can check the raw version instead.