Instructions to use ivanscorral/tweets-sentiment-model-33k-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivanscorral/tweets-sentiment-model-33k-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ivanscorral/tweets-sentiment-model-33k-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ivanscorral/tweets-sentiment-model-33k-samples") model = AutoModelForSequenceClassification.from_pretrained("ivanscorral/tweets-sentiment-model-33k-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle