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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35bf7ce9df7264a1d9c5f00198c85bba33add1e9e53e8f7b3a21ac00f06d6e9f
- Size of remote file:
- 438 MB
- SHA256:
- d8a996c729b65f1dd1b6925ceaa7d0bfec59edef4970a2f7b8bf4b783eb8ac64
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