Instructions to use davanstrien/dataset_mentions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use davanstrien/dataset_mentions with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("davanstrien/dataset_mentions") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use davanstrien/dataset_mentions with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("davanstrien/dataset_mentions") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 40fd5e3
Librarian Bot: Update dataset YAML metadata for model
Browse filesThis is a pull request to add a dataset, [`davanstrien/dataset_mentions`](https://huggingface.co/datasets/davanstrien/dataset_mentions), to the metadata for your model (defined in the `YAML` block of your model's `README.md`).
The pull request was made by [librarian-bot](https://huggingface.co/librarian-bot) and used a combination of rules and/or machine learning to suggest this additional metadata.
If this suggestion is incorrect, feel free to close this pull request.
Librarian Bot was made by [@davanstrien](https://huggingface.co/davanstrien); feel free to get in touch with feedback.
README.md
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- setfit
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pipeline_tag: text-classification
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- setfit
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- sentence-transformers
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datasets: davanstrien/dataset_mentions
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pipeline_tag: text-classification
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