Instructions to use mnaylor/bigbird-base-mimic-mortality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mnaylor/bigbird-base-mimic-mortality with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mnaylor/bigbird-base-mimic-mortality")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mnaylor/bigbird-base-mimic-mortality") model = AutoModelForSequenceClassification.from_pretrained("mnaylor/bigbird-base-mimic-mortality") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bbb76fe98a856208c84be6219966238e304724a97cb9da30f5f22fca0e7844d
- Size of remote file:
- 512 MB
- SHA256:
- a65db6ce08f10c072b89e3372dd55aa072d6f5b0b457698babf23534e3ebc1c1
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