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:
- eeefd9a078b8d49d62f88f1c0de83cd5defa04df8261316df78f5e0bee68f6ed
- Size of remote file:
- 1.44 GB
- SHA256:
- 416cd4aa4a935e10507bb76927a0bcf45864abf2eccc2051371a9a5ad6e32aa3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.