Instructions to use Shushant/NepaliCovidTweetsClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/NepaliCovidTweetsClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shushant/NepaliCovidTweetsClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shushant/NepaliCovidTweetsClassification") model = AutoModelForSequenceClassification.from_pretrained("Shushant/NepaliCovidTweetsClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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LABELS INDICATOR
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LABEL 0 - Nuetral
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LABEL 1 - Postive
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Label 2 - Negative
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## USAGE
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```python
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from transformers import pipeline
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# LABELS INDICATOR
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* LABEL 0 - Nuetral
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* LABEL 1 - Postive
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* Label 2 - Negative
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## USAGE
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```python
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from transformers import pipeline
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