Instructions to use bowphs/SPhilBerta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use bowphs/SPhilBerta with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("bowphs/SPhilBerta") 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] - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bowphs/SPhilBerta: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/bowphs/SPhilBerta/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://bowphs/SPhilBerta@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/bowphs/SPhilBerta/resolve/refs%2Fpr%2F1/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.