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
- Xet hash:
- d5681482074dbff962d06fcd8468db16b0c344aad8497de0322a746c34c29b22
- Size of remote file:
- 4.28 kB
- SHA256:
- 47b715fb23774bb9a1ae0e0983120b5fe265f6a8c88f743a81cfef0d8d2a21b4
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