Text Classification
Transformers
Safetensors
PyTorch
roberta
news-classification
ag-news
nlp
text-embeddings-inference
Instructions to use MhoOmm/News_Classifier_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MhoOmm/News_Classifier_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MhoOmm/News_Classifier_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MhoOmm/News_Classifier_Model") model = AutoModelForSequenceClassification.from_pretrained("MhoOmm/News_Classifier_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# News Classification using RoBERTa
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license: mit
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- transformers
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- pytorch
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- text-classification
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- news-classification
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- ag-news
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- nlp
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# News Classification using RoBERTa
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