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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 61 Bytes
5b0463f | 1 2 3 4 5 6 | ---
language:
- en
- ta
pipeline_tag: text-classification
--- |