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:
- e5ba97c054ec06fbf6d721cb8921bf7a7fba92c266d592919952400f190e57a7
- Size of remote file:
- 1.06 kB
- SHA256:
- 401748450d219ccacfd40aa24dc891969a0bd3ea46cb6d73574cad8887115992
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