Instructions to use brad1141/baseline_longformerv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use brad1141/baseline_longformerv1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="brad1141/baseline_longformerv1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("brad1141/baseline_longformerv1") model = AutoModelForTokenClassification.from_pretrained("brad1141/baseline_longformerv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 374ea0901e6a1098586e9d3ec07e9f8adfaa70eebb2805bc4edb1bd9630a82c0
- Size of remote file:
- 592 MB
- SHA256:
- 0c4f6b1add4437302bf5d1221f3802c6246d7b42cb2b927c51f68992a96bd02e
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