Instructions to use fenffef/bart-base-tnews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fenffef/bart-base-tnews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fenffef/bart-base-tnews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fenffef/bart-base-tnews") model = AutoModelForSequenceClassification.from_pretrained("fenffef/bart-base-tnews") - 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 sha256:6525ce7a05309e6ae3ce4a8ff4b9fa3da92db0218533d4f2a84dabddb774134e
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size 563211100
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