Instructions to use google/bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bigbird-roberta-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("google/bigbird-roberta-base") model = AutoModelForPreTraining.from_pretrained("google/bigbird-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from google/bigbird-roberta-base: direct link, hf CLI and curl.
- Browser
- Download file 513 MB
-
https://huggingface.co/google/bigbird-roberta-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://google/bigbird-roberta-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/google/bigbird-roberta-base/resolve/main/pytorch_model.bin
513 MB
- Xet hash:
- a7b297c636d2ad780d941dcfcaa74d8a234aae490066dc502acb8802c67a2e7d
- Size of remote file:
- 513 MB
- SHA256:
- 1d079993d1bb36e3ac26de793f85b6bdfd25b170e8af4acee23e48b7fa2a31e6
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