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
Download pytorch_model.bin from Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier: direct link, hf CLI and curl.
- Browser
- Download file 2.29 GB
-
https://huggingface.co/Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/pytorch_model.bin
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curl -L -o pytorch_model.bin https://huggingface.co/Diya-Roshan/xlm-code-mixed-tamil-sentiment-classifier/resolve/main/pytorch_model.bin
2.29 GB
- Xet hash:
- 4d88c7da822e119ee684bc57fb5ddf67e66aac656784ee75a55699d9f2d9d411
- Size of remote file:
- 2.29 GB
- SHA256:
- 59422ffed3f8ea0991f8adf4b8c795e999d4c6c8c0def8149e01ec61990406f5
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