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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f707013d1a786e096414b32427738af29cfe800cad7b5b5ebdbcbd3fef614194
- Size of remote file:
- 512 MB
- SHA256:
- 5b0a4b3a37401ea5e7110d1fc4645065a4d8f4188e458dfa69c7b266159cc27c
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