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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MhoOmm/News_Classifier_Model") model = AutoModelForSequenceClassification.from_pretrained("MhoOmm/News_Classifier_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f46ca82e3e3f5be05b1ba6091159d1d137803263d0fbac143df17a69a9acff8e
- Size of remote file:
- 499 MB
- SHA256:
- e8bd5e4f933fabb2fefa8151d5826b09f9a4701f3513806aefcfb7eda52abad0
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