Instructions to use alphaedge-ai/siglip2-base-patch16-512-tam-32768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use alphaedge-ai/siglip2-base-patch16-512-tam-32768 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alphaedge-ai/siglip2-base-patch16-512-tam-32768") 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
Trimmed SigLIP2 text vocab for Tamil (SP: 32768, ext: 0)
Browse files- tokenizer.json +2 -16
tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"max_length": 64,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": {
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"strategy": {
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"Fixed": 64
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"direction": "Right",
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"pad_to_multiple_of": null,
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"pad_id": 0,
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"pad_type_id": 0,
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"pad_token": "<pad>"
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"added_tokens": [
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"added_tokens": [
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"id": 0,
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