Instructions to use alex-shvets/roberta-large-emopillars-contextless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex-shvets/roberta-large-emopillars-contextless with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alex-shvets/roberta-large-emopillars-contextless")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alex-shvets/roberta-large-emopillars-contextless") model = AutoModelForSequenceClassification.from_pretrained("alex-shvets/roberta-large-emopillars-contextless") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7af2a1ccdc18c6e7f6b51f0cfb66e1debc140ec5d715eee7e7931b172206dff
- Size of remote file:
- 5.24 kB
- SHA256:
- dd769eb6a9bf0e21a7ff7686c3efb5d056478df49ca2eb3b690a984f2c0a5f32
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