Text Classification
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distilbert
Generated from Trainer
text-embeddings-inference
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("hiwensen/bert_sql_classfication")
model = AutoModelForSequenceClassification.from_pretrained("hiwensen/bert_sql_classfication", device_map="auto")Quick Links
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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Base model
distilbert/distilbert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hiwensen/bert_sql_classfication")