Instructions to use Bonosa2/newsworthy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bonosa2/newsworthy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bonosa2/newsworthy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bonosa2/newsworthy") model = AutoModelForSequenceClassification.from_pretrained("Bonosa2/newsworthy") - 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 sha256:501e5c520eb8a7f4fe8f2ee340f116bce5eda77d7c880fc3dfd0d2a97a00a319
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size 267832560
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