Instructions to use vumichien/sequence-classification-bigbird-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vumichien/sequence-classification-bigbird-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vumichien/sequence-classification-bigbird-roberta-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vumichien/sequence-classification-bigbird-roberta-base") model = AutoModelForSequenceClassification.from_pretrained("vumichien/sequence-classification-bigbird-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (310d8d261fa86f60ecaeb37abdde43fd9abeca21) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>2a8232e
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add tokenizer
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add model
98d5919 -
initial commit
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