Instructions to use tiya1012/crossde_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tiya1012/crossde_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tiya1012/crossde_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tiya1012/crossde_roberta") model = AutoModelForSequenceClassification.from_pretrained("tiya1012/crossde_roberta") - 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:aae9ab383e856872de8d1d460c4f8d590c43a6bf2fba5316bc512c8099dc0e44
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size 498617024
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