Instructions to use DerivedFunction01/twitter-roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DerivedFunction01/twitter-roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="DerivedFunction01/twitter-roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("DerivedFunction01/twitter-roberta-base-sentiment") model = AutoModelForTokenClassification.from_pretrained("DerivedFunction01/twitter-roberta-base-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b76a11ffc54deee442e8ec3d5210b460e63be840f864a755ff8ef1108e9324c4
- Size of remote file:
- 5.27 kB
- SHA256:
- 84bbe950f70cc16d15b792efc1320e1885c3a138ce4382fed088e06bcb9ef236
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