Instructions to use AISE-TUDelft/extended-java-pointer-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use AISE-TUDelft/extended-java-pointer-classifier with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("AISE-TUDelft/extended-java-pointer-classifier") 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 AISE-TUDelft/extended-java-pointer-classifier with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("AISE-TUDelft/extended-java-pointer-classifier") preds = model.predict(["i loved the spiderman movie!", "pineapple on pizza is the worst"]) print(preds) - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AISE-TUDelft/extended-java-pointer-classifier: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/AISE-TUDelft/extended-java-pointer-classifier/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://AISE-TUDelft/extended-java-pointer-classifier@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AISE-TUDelft/extended-java-pointer-classifier/resolve/refs%2Fpr%2F1/model.safetensors
438 MB
- Xet hash:
- 2cb664b9b5dbb191b4cd8180b47caa73ee53b9543dc1254b90b886291ae1b80a
- Size of remote file:
- 438 MB
- SHA256:
- e109dee33f49528b2e5932b912b83e7aed606f082c3f6f3097961ad20f16c99b
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