Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use duwuonline/mymodel-classify-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use duwuonline/mymodel-classify-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="duwuonline/mymodel-classify-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("duwuonline/mymodel-classify-sentiment") model = AutoModelForSequenceClassification.from_pretrained("duwuonline/mymodel-classify-sentiment") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Training and evaluation data
I will update later
Hardware
T4 GPU
- Downloads last month
- 4
Model tree for duwuonline/mymodel-classify-sentiment
Base model
FacebookAI/xlm-roberta-base