Instructions to use Maits27/OnlySentimentBased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Maits27/OnlySentimentBased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Maits27/OnlySentimentBased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Maits27/OnlySentimentBased") model = AutoModelForSequenceClassification.from_pretrained("Maits27/OnlySentimentBased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32323d01bd5fa39c3fcd8e7d5a4eee41fafcc508aa077a27de82432f1b1351d2
- Size of remote file:
- 3.95 kB
- SHA256:
- 50838c1a528197ba080fa42e35b37f9f551585f33ed01fa0fa186fc613ce01cc
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