Text Classification
Transformers
Safetensors
English
lfm3_vl
feature-extraction
lfm3
decision
decision-model
classification
calibration
system-one
security
agent-guard
guardrails
custom_code
Instructions to use aidendle94/Scantron-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aidendle94/Scantron-Preview with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aidendle94/Scantron-Preview", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("aidendle94/Scantron-Preview", trust_remote_code=True) model = AutoModel.from_pretrained("aidendle94/Scantron-Preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Card: training data, recipe, tokens and time; how the head was edited by hand. Add the fine-tune run record.
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