Text Classification
Transformers
PyTorch
TensorBoard
English
bert
generated from trainer
text-embeddings-inference
Instructions to use minseok0809/bert-base-uncased-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use minseok0809/bert-base-uncased-finetuned-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="minseok0809/bert-base-uncased-finetuned-mrpc")# 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") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
a9af02d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8ff2ac6e929fc02924c640ecd79ecf844ff2e8cc19e57468f44c859cb8f7fe0e
size 438003505
|