Instructions to use svanhvit/formality-classification-icebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use svanhvit/formality-classification-icebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="svanhvit/formality-classification-icebert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("svanhvit/formality-classification-icebert") model = AutoModelForSequenceClassification.from_pretrained("svanhvit/formality-classification-icebert") - 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 sha256:819bab15aa0e62978ee3d7c9c095e3817ba40c2a5ce4462c62c642bad5fc5362
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size 497802944
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