Instructions to use Arro94/nova-model-benchmark with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arro94/nova-model-benchmark with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Arro94/nova-model-benchmark")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Arro94/nova-model-benchmark") model = AutoModelForSequenceClassification.from_pretrained("Arro94/nova-model-benchmark") - 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:b32a0a3f23e1dc04437430e4007a9930d90c02d7bd4cc0e32418f8ce2d12842c
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size 498797664
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