Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hiwensen/bert_sql_classfication with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwensen/bert_sql_classfication with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hiwensen/bert_sql_classfication")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hiwensen/bert_sql_classfication") model = AutoModelForSequenceClassification.from_pretrained("hiwensen/bert_sql_classfication") - Notebooks
- Google Colab
- Kaggle
bert_sql_classfication
This model is a fine-tuned version of distilbert-base-uncased on a dataset based on the spider dataset.
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Model tree for hiwensen/bert_sql_classfication
Base model
distilbert/distilbert-base-uncased