Instructions to use universalner/uner_chn_gsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use universalner/uner_chn_gsd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="universalner/uner_chn_gsd")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("universalner/uner_chn_gsd") model = AutoModelForTokenClassification.from_pretrained("universalner/uner_chn_gsd") - Notebooks
- Google Colab
- Kaggle
Shuheng Liu commited on
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Parent(s): ace555e
Updated README
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README.md
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name: Token Classification
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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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#
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the uner_chn_gsd dataset.
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It achieves the following results on the evaluation set:
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- name: uner_chn_gsd
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results:
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- task:
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name: Token Classification
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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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# uner_chn_gsd
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This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the uner_chn_gsd dataset.
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It achieves the following results on the evaluation set:
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