Instructions to use Shauli/RE-metric-model-spike with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shauli/RE-metric-model-spike with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Shauli/RE-metric-model-spike")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Shauli/RE-metric-model-spike") model = AutoModel.from_pretrained("Shauli/RE-metric-model-spike") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72b2e7af33343bcbf080f67e4278c850695c285fff51a98007e0eb12bcf7e04a
- Size of remote file:
- 440 MB
- SHA256:
- b001831b3f6cde4155e3529577b5a505ebab6b6e97441b84f8f2d5f9ad4383bf
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