Instructions to use AyoubChLin/bert_cnn_news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/bert_cnn_news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/bert_cnn_news")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/bert_cnn_news") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/bert_cnn_news") - 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:d98cffc3daf66c028d0e7e23d20c2ef8d8793dfefe6ab8062a8ff50797a3d945
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size 437975136
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