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
TemporalMesh Transformer: dynamic kNN graph attention + adaptive exit gates, 29.4 PPL at 48% compute
#5 opened 19 days ago
by
vigneshwar234
Librarian Bot: Update Hugging Face dataset ID
#4 opened about 2 years ago
by
librarian-bot
Adding `safetensors` variant of this model
1
#3 opened about 2 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot