Instructions to use 51la5/roberta-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/roberta-base-sentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="51la5/roberta-base-sentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("51la5/roberta-base-sentiment") model = AutoModelForSequenceClassification.from_pretrained("51la5/roberta-base-sentiment") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4943a6dbe10a289b4417a664c8db55e2fd41411099b50b79661ddbdeb04b7cd1
- Size of remote file:
- 1.03 kB
- SHA256:
- 17dcc2b30a6dfe94495d50d34a3fa629cbc7bce77469577f87504235a389ef2c
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