Instructions to use MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis") model = AutoModelForSequenceClassification.from_pretrained("MonkeyDLLLLLLuffy/CustomModel-multilingual-sentiment-analysis") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9af37d6f42adcf7e9237e8dfdd998236fb932600840dc69003ab3a66dd68561f
- Size of remote file:
- 541 MB
- SHA256:
- b9f5ec331eff35d276a5d6db01e69e1936fe10eff014ef30aa6a380145f16600
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