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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("google/bigbird-roberta-large") model = AutoModelForMaskedLM.from_pretrained("google/bigbird-roberta-large", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Adds tokenizer_config.json file
Verified signature8838e9c
-
flax version add
95d04fa
-
Create README.md
4911ff6
-
add files
264504b -
correct
ad05435 -
upload all
e35f82a -
initial commit
c92d133