Instructions to use pvaluedotone/bigbird-flight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pvaluedotone/bigbird-flight with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pvaluedotone/bigbird-flight")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pvaluedotone/bigbird-flight") model = AutoModelForSequenceClassification.from_pretrained("pvaluedotone/bigbird-flight", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a147fdd93dd0da445e10a1ea2f56160ffef324e812d3a9252a1e8945bf25226f
- Size of remote file:
- 5.37 kB
- SHA256:
- de2556194136857f87dd46b8888164dae396809915621766c4a139f6802c6238
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