Instructions to use google/bigbird-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bigbird-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="google/bigbird-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/bigbird-roberta-large") model = AutoModelForMaskedLM.from_pretrained("google/bigbird-roberta-large") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 18125bbf621f3f2c7f6446e600bd36ba64101a13849021572d14d537cc7f58aa
- Size of remote file:
- 1.44 GB
- SHA256:
- 15cc625870be6505836677b6abfc5bcd0a340eaf9b423803ec62697ae46b447c
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