Instructions to use A-Funakoshi/bert-multilingual-sentiments-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use A-Funakoshi/bert-multilingual-sentiments-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="A-Funakoshi/bert-multilingual-sentiments-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("A-Funakoshi/bert-multilingual-sentiments-base") model = AutoModelForSequenceClassification.from_pretrained("A-Funakoshi/bert-multilingual-sentiments-base") - Notebooks
- Google Colab
- Kaggle
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# multilingual-sentiments銈抌ert銉欍兗銈广伄銉€儑銉仹finetuning銇椼仧銈傘伄
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- 銉欍兗銈广儮銉囥儷锛歝l-tohoku/bert-base-japanese-whole-word-masking
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- 銉囥兗銈裤偦銉冦儓锛歵yqiangz/multilingual-sentiments
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- accuracy
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- f1
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# multilingual-sentiments銉囥兗銈裤偦銉冦儓銈抌ert銉欍兗銈广伄銉€儑銉仹finetuning銇椼仧銈傘伄
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- 銉欍兗銈广儮銉囥儷锛歝l-tohoku/bert-base-japanese-whole-word-masking
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- 銉囥兗銈裤偦銉冦儓锛歵yqiangz/multilingual-sentiments
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