Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use chunwoolee0/seqcls_mrpc_bert_base_uncased_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chunwoolee0/seqcls_mrpc_bert_base_uncased_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chunwoolee0/seqcls_mrpc_bert_base_uncased_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chunwoolee0/seqcls_mrpc_bert_base_uncased_model") model = AutoModelForSequenceClassification.from_pretrained("chunwoolee0/seqcls_mrpc_bert_base_uncased_model") - Notebooks
- Google Colab
- Kaggle