Instructions to use Mahmoud8/google-bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/google-bigbird-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/google-bigbird-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/google-bigbird-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/google-bigbird-roberta-base") - 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 sha256:3d2d6517f98720055475612efd935224c0cffafca7d02505ddc70af55c8a14a5
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size 512267464
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