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
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Download README.md from Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier: direct link, hf CLI and curl.
- Browser
- Download file 61 Bytes
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https://huggingface.co/Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/resolve/main/README.md
- Command line
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hf download hf://Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/README.md
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curl -L -o README.md https://huggingface.co/Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/resolve/main/README.md
61 Bytes
| language: | |
| - en | |
| - ta | |
| pipeline_tag: text-classification | |