Instructions to use lilaspourpre/rubert-tiny-stance-calssification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lilaspourpre/rubert-tiny-stance-calssification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lilaspourpre/rubert-tiny-stance-calssification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lilaspourpre/rubert-tiny-stance-calssification") model = AutoModelForSequenceClassification.from_pretrained("lilaspourpre/rubert-tiny-stance-calssification") - 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:c9f750a0ffb1e801eb98a1e32996c97dce0c85fbd4bb1f0d650deb9456679959
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size 47151060
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