Instructions to use return2music/roberta-base_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use return2music/roberta-base_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="return2music/roberta-base_classification_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("return2music/roberta-base_classification_test") model = AutoModelForSequenceClassification.from_pretrained("return2music/roberta-base_classification_test") - 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 sha256:437ebd5d9ed2465520c3963c00222fa9a4dc6d740c1fb1a67294ee32f8ef82f3
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size 498617024
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