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
Download tokenizer.json from aidendle94/Scantron-Preview: direct link, hf CLI and curl.
- Browser
- Download file 17.9 MB
-
https://huggingface.co/aidendle94/Scantron-Preview/resolve/main/tokenizer.json
- Command line
-
hf download hf://aidendle94/Scantron-Preview/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/aidendle94/Scantron-Preview/resolve/main/tokenizer.json
17.9 MB
- Xet hash:
- 0c6ae2ae860eab63090922b6595184b27e5518f7caaa263b8c10fd8c3bb367e3
- Size of remote file:
- 17.9 MB
- SHA256:
- a39eed58008cbcbc09e5b629b81338a654269c64cd13348aaa6090f4db75c7e7
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