Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use ac0hik/Sentiment_Analysis_French with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ac0hik/Sentiment_Analysis_French with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ac0hik/Sentiment_Analysis_French")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ac0hik/Sentiment_Analysis_French") model = AutoModelForSequenceClassification.from_pretrained("ac0hik/Sentiment_Analysis_French") - Inference
- Notebooks
- Google Colab
- Kaggle
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README.md
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# camembert_model
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the tweet_sentiment_multilingual dataset
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It achieves the following results on the evaluation set:
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- Loss: 0.7877
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- Accuracy: 0.7654
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# camembert_model
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the French subset of the tweet_sentiment_multilingual dataset, augmented with additional curated sentiment data from various sources. .
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It achieves the following results on the evaluation set:
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- Loss: 0.7877
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- Accuracy: 0.7654
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