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 AutoModel model = AutoModel.from_pretrained("aidendle94/Scantron-Preview", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
3 days ago
-
Card: research-status note; credit and link weight-space programming
Verified signatureb7db4d4 -
Card: training data, recipe, tokens and time; how the head was edited by hand. Add the fine-tune run record.
Verified signatureace79dd -
Card: note the fine-tune checkpoint repo is private
Verified signature7dd6dc4
5 days ago
-
Release 2: three-direction head edit; card measured under a non-leaking protocol
Verified signature4f6de45 -
head edit checkpoint
Verified signature33e4a86 -
initial commit
Verified signature11e6dd1