Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
distilbert
Generated from Trainer
Instructions to use vishnun/knowledge-graph-nlp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishnun/knowledge-graph-nlp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vishnun/knowledge-graph-nlp")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vishnun/knowledge-graph-nlp") model = AutoModelForTokenClassification.from_pretrained("vishnun/knowledge-graph-nlp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ab088f5a4ad863dd6a18a875446aeb448fcf83154de35d796197c4e86d393e87
- Size of remote file:
- 265 MB
- SHA256:
- b62a060c21dd95ccf7e5e28d309e8514549a1c341cfb7fded76d82f88d1dda2c
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