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:
- e762bd767bc7d9f513e8309e80032bb1bf6cfe6cbbd7c2c9ddea0c6059e9b084
- Size of remote file:
- 1.53 GB
- SHA256:
- 55b415807b0388b3107ce74e9e7b45243a5e5c917585a1838c112fbf1508a1c8
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