Instructions to use vkhangpham/shopee-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vkhangpham/shopee-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vkhangpham/shopee-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vkhangpham/shopee-ner") model = AutoModelForTokenClassification.from_pretrained("vkhangpham/shopee-ner") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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@@ -6,6 +6,7 @@ metrics:
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- recall
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- f1
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- accuracy
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model-index:
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- name: shopee-ner
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results: []
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- recall
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- f1
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- accuracy
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base_model: cahya/xlm-roberta-base-indonesian-NER
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model-index:
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- name: shopee-ner
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results: []
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