Text Classification
Transformers
Safetensors
English
Spanish
Malayalam
sentiment-analysis
code-switching
code-mixed
data-augmentation
llm-augmentation
spanglish
spanish-english
malayalam-english
mbert
xlm-roberta
xlm-t
low-resource
Instructions to use lindazeng979/codemixed-sentiment-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lindazeng979/codemixed-sentiment-models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lindazeng979/codemixed-sentiment-models")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lindazeng979/codemixed-sentiment-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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