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
Commit ·
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Parent(s): 7d89c98
Upload pytorch_model.bin with git-lfs
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