Instructions to use tgood/bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tgood/bigbird-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tgood/bigbird-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("tgood/bigbird-roberta-base") model = AutoModel.from_pretrained("tgood/bigbird-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3360cbce16c2c64f048e8907c6c1c991f776d42a605b30d538ac1a08643202b8
- Size of remote file:
- 510 MB
- SHA256:
- e0992c67797801215ae832f751f40517152d235fc24d612fc46016760c3bde6a
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