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GitHub / matteo-stat / transformers-nlp-ner-token-classification

This repo provides scripts for fine-tuning HuggingFace Transformers, setting up pipelines and optimizing token classification models for inference. They are based on my experience developing a custom chatbot, I’m sharing these in the hope they will help others to quickly fine-tune and use models in their projects! 😊

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/matteo-stat%2Ftransformers-nlp-ner-token-classification

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 22.5 KB
Dependencies parsed at: Pending

Created at: 8 months ago
Updated at: 8 months ago
Pushed at: 8 months ago
Last synced at: about 2 months ago

Topics: fine-tuning, huggingface, huggingface-pipelines, huggingface-transformers, inference-optimization, named-entity-recognition, ner, nlp, onnx, onnxruntime, token-classification, transformers

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