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:
- 0e2806577a2b9786b18284212ed4f46eb8a854a85ebf583af6598735bb44c7c2
- Size of remote file:
- 512 MB
- SHA256:
- 423f7eceec4dd3dad4a1940baeb7f371b185e6792900d3dbb9ad5912ecca2143
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