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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (3d365f6af111432321b16d7f035d39a263976878) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>73895f3
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update model card README.md
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End of training
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Training in progress, epoch 4
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Training in progress, epoch 3
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Training in progress, epoch 1
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initial commit
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