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:
- 18d7384ddce126f2ae77af9e6d32c7770f21225c9730784d626a5615a68ceef9
- Size of remote file:
- 499 MB
- SHA256:
- 69558465a46d77d5bb12f0bf2f792d17a9e81643c557f7f69fe8ea96adfb6481
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