Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-full_labels with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-full_labels with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-full_labels")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-full_labels") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-full_labels") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b2e571a7558a4efaec2d7974b5b9283ded9b2c2f45899ad3b42e78c4ad4765a
- Size of remote file:
- 1.01 GB
- SHA256:
- 4b754ed8dacdf097e452fff32e464fa1861c7a9206a8920d9e1fe9e8ddfad16c
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