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minoosh/
bert-clf-biencoder-focal_loss

Name: bert-clf-biencoder-focal_loss
Availability: InStock

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BiEncoder Classification Model

This model is a BiEncoder architecture based on BERT for text pair classification.

Model Details

Base Model: bert-base-uncased
Architecture: BiEncoder with BERT base
Number of classes: 4

Usage

python

from transformers import AutoTokenizer

import torch

# Load tokenizer

tokenizer = AutoTokenizer.from_pretrained("minoosh/bert-clf-biencoder-focal_loss")

# Load model weights

state_dict = torch.load("pytorch_model.bin")

# Initialize model (you'll need the BiEncoderModel class)

model = BiEncoderModel(

    base_model=AutoModel.from_pretrained("bert-base-uncased"),

    num_classes=4

)

model.load_state_dict(state_dict)