Text Classification
Transformers
PyTorch
TensorBoard
English
bert
generated from trainer
text-embeddings-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("minseok0809/bert-base-uncased-finetuned-mrpc")
model = AutoModelForSequenceClassification.from_pretrained("minseok0809/bert-base-uncased-finetuned-mrpc", device_map="auto")Quick Links
bert-base-uncased-finetuned-stsb
This model is a fine-tuned version of google-bert/bert-base-uncased on an GLUE.
Model description
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Intended uses & limitations
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Training and evaluation data
Training procedure
Training hyperparameters
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Training results
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Model tree for minseok0809/bert-base-uncased-finetuned-mrpc
Base model
google-bert/bert-base-uncased
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minseok0809/bert-base-uncased-finetuned-mrpc")