Text Classification
Transformers
TensorBoard
Safetensors
modernbert
sentiment
multilingual
sentiment-analysis
product-reviews
place-reviews
text-embeddings-inference
Instructions to use clapAI/modernBERT-base-multilingual-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clapAI/modernBERT-base-multilingual-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="clapAI/modernBERT-base-multilingual-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("clapAI/modernBERT-base-multilingual-sentiment") model = AutoModelForSequenceClassification.from_pretrained("clapAI/modernBERT-base-multilingual-sentiment") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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After fine-tuning, the best model is loaded and evaluated on the `test` dataset
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from [clapAI/MultiLingualSentiment](https://huggingface.co/datasets/clapAI/MultiLingualSentiment)
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| Model | Pretrained Model | Parameters
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| [modernBERT-base-multilingual-sentiment](https://huggingface.co/clapAI/modernBERT-base-multilingual-sentiment) | ModernBERT-base |
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| [modernBERT-large-multilingual-sentiment](https://huggingface.co/clapAI/modernBERT-large-multilingual-sentiment) | ModernBERT-large |
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| [roberta-base-multilingual-sentiment](https://huggingface.co/clapAI/roberta-base-multilingual-sentiment) | XLM-roberta-base |
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| [roberta-large-multilingual-sentiment](https://huggingface.co/clapAI/roberta-large-multilingual-sentiment) | XLM-roberta-large |
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## How to use
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After fine-tuning, the best model is loaded and evaluated on the `test` dataset
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from [clapAI/MultiLingualSentiment](https://huggingface.co/datasets/clapAI/MultiLingualSentiment)
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| Model | Pretrained Model | Parameters | F1-score |
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| [modernBERT-base-multilingual-sentiment](https://huggingface.co/clapAI/modernBERT-base-multilingual-sentiment) | ModernBERT-base | 150M | 80.16 |
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| [modernBERT-large-multilingual-sentiment](https://huggingface.co/clapAI/modernBERT-large-multilingual-sentiment) | ModernBERT-large | 396M | 81.4 |
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| [roberta-base-multilingual-sentiment](https://huggingface.co/clapAI/roberta-base-multilingual-sentiment) | XLM-roberta-base | 278M | 81.8 |
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| [roberta-large-multilingual-sentiment](https://huggingface.co/clapAI/roberta-large-multilingual-sentiment) | XLM-roberta-large | 560M | 82.6 |
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## How to use
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