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")# pip install -U transformers accelerate # 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
Commit ·
0c19424
1
Parent(s): 9278f62
Training in progress, step 1000
Browse files
runs/May26_13-20-08_MSI/events.out.tfevents.1779816008.MSI
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version https://git-lfs.github.com/spec/v1
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