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
Update README.md
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README.md
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model-index:
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- name: kg_model
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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model-index:
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- name: kg_model
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results: []
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datasets:
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- vishnun/NLP-KnowledgeGraph
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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