Instructions to use adam-chell/tweet-sentiment-analyzer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adam-chell/tweet-sentiment-analyzer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adam-chell/tweet-sentiment-analyzer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adam-chell/tweet-sentiment-analyzer") model = AutoModelForSequenceClassification.from_pretrained("adam-chell/tweet-sentiment-analyzer") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
This model has been trained by fine-tuning a BERTweet sentiment classification model named "finiteautomata/bertweet-base-sentiment-analysis", on a labeled positive/negative dataset of tweets.
email : adam.chellaoui@epfl.ch
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