Text Classification
Transformers
Safetensors
English
modernbert
fill-mask
prokope
system-one
calibrated-decisions
typed-decisions
rlcd
agent-observability
security-incidents
invoice-processing
customer-service
slerp-manifold-fusion
Eval Results (legacy)
Eval Results
text-embeddings-inference
Instructions to use ProKope-AI/ProKope-421M-8K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProKope-AI/ProKope-421M-8K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ProKope-AI/ProKope-421M-8K")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ProKope-AI/ProKope-421M-8K") model = AutoModelForMaskedLM.from_pretrained("ProKope-AI/ProKope-421M-8K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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ProKope-421M-8K is a high-speed System 1 decision engine created by Alan Canto. Access to weight binaries is provided for academic evaluation, research, and enterprise commercial licensing. Please provide your institutional information to request access.
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