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mmbert32k-factcheck-classifier-merged – AI Model by llm-semantic-router | AlphaNeural AI

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llm-semantic-router/
mmbert32k-factcheck-classifier-merged

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text-classification

llm-semantic-router/mmbert-32k-yarn

text-embeddings-inference

endpoints_compatible

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mmBERT-32K Factcheck Classifier (Merged)

This is the merged version of the mmBERT-32K factcheck classifier model, ready for direct inference without PEFT.

Model Details

Base Model: llm-semantic-router/mmbert-32k-yarn
Task: Text Classification
Number of Labels: 2
Context Length: 32,768 tokens
Architecture: ModernBERT with YaRN RoPE scaling

Usage

python

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained(
    "llm-semantic-router/mmbert32k-factcheck-classifier-merged",
    trust_remote_code=True
)
tokenizer = AutoTokenizer.from_pretrained("llm-semantic-router/mmbert32k-factcheck-classifier-merged")

# Inference
inputs = tokenizer("Your text here", return_tensors="pt", truncation=True, max_length=32768)
outputs = model(**inputs)

Related Models

LoRA Adapter: llm-semantic-router/mmbert32k-factcheck-classifier-lora
Base Model: llm-semantic-router/mmbert-32k-yarn

License

Apache 2.0