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:
- 3b649656e99d048de842c41e42c65709841b68a3d660ad0769be3267c31e6b09
- Size of remote file:
- 14 kB
- SHA256:
- 9252fb734ac5e379290f7fbd9e1d23ebe111bb64502dde4db0bfe5beb2e90d06
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