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:
- 5dd6a69e68ab8ad297f880b66604dfa1d5f5bfecd12a467b56be8e57e8b42c5d
- Size of remote file:
- 1.01 GB
- SHA256:
- b5ee12eab1fb0034e0014828304220ae14842d0fef2c94c269483f5749db6224
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