Instructions to use seriouspark/bert-base-multilingual-cased-finetuning-sentimental-6label with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seriouspark/bert-base-multilingual-cased-finetuning-sentimental-6label with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seriouspark/bert-base-multilingual-cased-finetuning-sentimental-6label")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seriouspark/bert-base-multilingual-cased-finetuning-sentimental-6label") model = AutoModelForSequenceClassification.from_pretrained("seriouspark/bert-base-multilingual-cased-finetuning-sentimental-6label") - Notebooks
- Google Colab
- Kaggle
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