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Falconsai
/

proof_v2

Text Classification

feature-extraction

zero-shot-classification

multiple-choice

intent-classification

customer-support

code-understanding

natural-language-inference

knowledge-distillation

selective-prediction

attested-lineage

text-embeddings-inference

Model card Files Files and versions

Instructions to use Falconsai/proof_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Falconsai/proof_v2 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="Falconsai/proof_v2")

# Load model directly
from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("Falconsai/proof_v2")
model = AutoModel.from_pretrained("Falconsai/proof_v2", device_map="auto")

Notebooks
Google Colab
Kaggle

Resources

PR & discussions documentation
Code of Conduct
Hub documentation

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