Instructions to use vasudevgupta/bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasudevgupta/bigbird-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vasudevgupta/bigbird-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vasudevgupta/bigbird-roberta-base") model = AutoModelForMaskedLM.from_pretrained("vasudevgupta/bigbird-roberta-base") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): bc058fd
Update config.json
Browse files- config.json +1 -1
config.json
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{
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"architectures": [
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"attention_probs_dropout_prob": 0.1,
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"attention_type": "block_sparse",
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{
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"architectures": [
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"BigBirdForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"attention_type": "block_sparse",
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