roberta-base-CoLA

This repository contains a fine-tuned RoBERTa base model on the CoLA dataset.

Model Details

• Architecture: RoBERTa-base
• Task: Linguistic Acceptability (CoLA)
• Framework: PyTorch / ONNX
• Files:
  • config.json
  • tokenizer.json
  • vocab.json
  • onnx/ (ONNX model)
  • etc.

Usage Example

from transformers import AutoTokenizer, AutoModel

tokenizer = AutoTokenizer.from_pretrained("tmqRhoebie/roberta-base-CoLA")
model = AutoModel.from_pretrained("tmqRhoebie/roberta-base-CoLA")

text = "The cat sat on the mat."
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)
print(outputs.last_hidden_state)

Author

Uploaded by tmqRhoebie.