Instructions to use Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")# Load model directly from transformers import AutoTokenizer, XLMForMultiLabelSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier") model = XLMForMultiLabelSequenceClassification.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, XLMForMultiLabelSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")
model = XLMForMultiLabelSequenceClassification.from_pretrained("Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier")