Instructions to use rbroc/twitter-eupol-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rbroc/twitter-eupol-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="rbroc/twitter-eupol-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("rbroc/twitter-eupol-model") model = AutoModel.from_pretrained("rbroc/twitter-eupol-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11a6a628b0f0e9dafdce2024826e753e3112ac1a60b154ae9642818d0e2fe5bc
- Size of remote file:
- 265 MB
- SHA256:
- c8d9e1dea18b3d20406811dc12446255db2a2b669b1c5bfa2ddfaf062d5dea72
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