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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e5712b9aaf51fa79e3bdab02a0ee2393e50da798c38b2e3461c7e3860355aef7
- Size of remote file:
- 496 MB
- SHA256:
- f0e546e39f55757b89e3f4d013574e03f37649cd33745168fab2cc4a3374edf0
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