Instructions to use ACCORD-NLP/ner-albert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ACCORD-NLP/ner-albert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ACCORD-NLP/ner-albert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ACCORD-NLP/ner-albert-large") model = AutoModelForTokenClassification.from_pretrained("ACCORD-NLP/ner-albert-large") - Notebooks
- Google Colab
- Kaggle
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1. Entity Extraction/Classification (ner)
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2. Relation Extraction/Classification (re)
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**ner-albert-large** is
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## Installation
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1. Entity Extraction/Classification (ner)
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2. Relation Extraction/Classification (re)
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**ner-albert-large** is an ALBERT large model fine-tuned for sequence labelling/entity classification using [CODE-ACCORD entities](https://huggingface.co/datasets/ACCORD-NLP/CODE-ACCORD-Entities) dataset.
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## Installation
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