Instructions to use flax-community/pino-bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/pino-bigbird-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="flax-community/pino-bigbird-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("flax-community/pino-bigbird-roberta-base") model = AutoModelForMaskedLM.from_pretrained("flax-community/pino-bigbird-roberta-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1423d70a187a00655bb224b29dee969245ff1775d270a76e05df6ecc80b7f308
- Size of remote file:
- 513 MB
- SHA256:
- cbd6001a3f6c1af1bbbb0597fb1513f3a7507286611b0800c408d926e2c4b5e3
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