Instructions to use Gaborandi/Bert_news_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gaborandi/Bert_news_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Gaborandi/Bert_news_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gaborandi/Bert_news_classifier") model = AutoModelForSequenceClassification.from_pretrained("Gaborandi/Bert_news_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3274b2b199979184e2ba943562fe1172d94018aa) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ca1a38a
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Create README.md
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Upload tokenizer
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Upload BertForSequenceClassification
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initial commit
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