Instructions to use arj9719/robertuito_topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arj9719/robertuito_topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="arj9719/robertuito_topic_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("arj9719/robertuito_topic_classification") model = AutoModelForSequenceClassification.from_pretrained("arj9719/robertuito_topic_classification") - 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 sha256:4266e1d654a8e08abf2d4f35fce3a62c315b2bb1c9e3a58d18a1771d778dd7c9
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size 435217116
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