Instructions to use cssupport/bert-news-class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cssupport/bert-news-class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cssupport/bert-news-class")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("cssupport/bert-news-class") model = AutoModelForMaskedLM.from_pretrained("cssupport/bert-news-class") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 1 year ago
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Adding `safetensors` variant of this model
#3 opened over 2 years ago
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Adding `safetensors` variant of this model
#2 opened over 2 years ago
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SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 2 years ago
by
SFconvertbot