Token Classification
Transformers
Safetensors
longformer
Generated from Trainer
Eval Results (legacy)
Instructions to use Theoreticallyhugo/longformer-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Theoreticallyhugo/longformer-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Theoreticallyhugo/longformer-simple")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Theoreticallyhugo/longformer-simple") model = AutoModelForTokenClassification.from_pretrained("Theoreticallyhugo/longformer-simple") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38eecffe024039b600fa4fe77f7bd7df925f97e3eec3e41346544cafbc3377fd
- Size of remote file:
- 4.86 kB
- SHA256:
- 1e651c478af6098730eda01c59bbe4834fbad7ed476e7ec6e4265141ee6647e9
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