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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Gaborandi/Bert_news_classifier") model = AutoModelForSequenceClassification.from_pretrained("Gaborandi/Bert_news_classifier") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:edc663a7f2bce27cd06fb7cfff72036ad9d9dc7a7386bb226feeffe48b7b71b5
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size 437962832
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