Instructions to use MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis-enhanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis-enhanced with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis-enhanced")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis-enhanced") model = AutoModelForSequenceClassification.from_pretrained("MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis-enhanced") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0739b35cbd7569980e2f67baa7989f95c2b3175929b297f5e409a551697d7969
- Size of remote file:
- 541 MB
- SHA256:
- d0806b950aada26060d55d54a220166fbd9da0b61b8602f4662d98bc886e3da0
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