Instructions to use RobW/longformer-base-4096-finetuned-chunk-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RobW/longformer-base-4096-finetuned-chunk-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="RobW/longformer-base-4096-finetuned-chunk-3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("RobW/longformer-base-4096-finetuned-chunk-3") model = AutoModelForTokenClassification.from_pretrained("RobW/longformer-base-4096-finetuned-chunk-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04b83229385cc4be8b6edc98f58ec57baa94de3b9ff8cdc71def79b6b3f91d2f
- Size of remote file:
- 592 MB
- SHA256:
- 0113ffd7a5b39e07da605f0435b87ae4f106f6c72adbc062418b0cede95470ea
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