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:
- 9d8a74260957b6df77855f39cc96d4798478fb6274a981e3c4a008443af0dbbb
- Size of remote file:
- 1.02 GB
- SHA256:
- 4d6974e9e06d4df8fba1cae0a026f459e1c1ca5c32b7aab64c31e37b72d7e9bd
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