Instructions to use asalhi85/ArTweetsSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asalhi85/ArTweetsSentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asalhi85/ArTweetsSentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asalhi85/ArTweetsSentiment") model = AutoModelForSequenceClassification.from_pretrained("asalhi85/ArTweetsSentiment") - Notebooks
- Google Colab
- Kaggle
Rename config.json to config1.json
Browse files
config.json → config1.json
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