Instructions to use lilaspourpre/rubert-tiny-stance-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilaspourpre/rubert-tiny-stance-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lilaspourpre/rubert-tiny-stance-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lilaspourpre/rubert-tiny-stance-classification") model = AutoModelForSequenceClassification.from_pretrained("lilaspourpre/rubert-tiny-stance-classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:46291b12c214308b32c544e3c232d77402b460697593cad438a9b8d77a4c3916
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size 47151060
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