Instructions to use aizenSosuke/SQL-PDFclassificationModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aizenSosuke/SQL-PDFclassificationModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aizenSosuke/SQL-PDFclassificationModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aizenSosuke/SQL-PDFclassificationModel") model = AutoModelForSequenceClassification.from_pretrained("aizenSosuke/SQL-PDFclassificationModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05c553583fed495a86f9c12ce1b83f5f2dfed1a76a456e2113c3d6f17824c843
- Size of remote file:
- 499 MB
- SHA256:
- c7de52b7bca8e74e76a91d34dbc66fdbf0a524d9cc385deffee7936b34bedae6
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