Text Classification
Transformers
GGUF
English
falconsproof
decision-model
zero-shot-classification
multiple-choice
intent-classification
customer-support
knowledge-distillation
cross-encoder
calibration
selective-prediction
distilbert
falconsai
model-surgeon
attested-lineage
Instructions to use Falconsai/proof_V_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/proof_V_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/proof_V_1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Falconsai/proof_V_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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