Text Classification
Transformers
Safetensors
bert
synthetic-data
document-ai
business-document-agents
workflow-routing
agent-evaluation
text-embeddings-inference
Instructions to use xdanielsb/doc-oracle-bert-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xdanielsb/doc-oracle-bert-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="xdanielsb/doc-oracle-bert-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("xdanielsb/doc-oracle-bert-v1") model = AutoModelForSequenceClassification.from_pretrained("xdanielsb/doc-oracle-bert-v1") - Notebooks
- Google Colab
- Kaggle
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