Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
text-embeddings-inference
Instructions to use amplyfi/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use amplyfi/test_model with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("amplyfi/test_model") - sentence-transformers
How to use amplyfi/test_model with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("amplyfi/test_model") 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
Add exported onnx model 'model_qint8_avx512_vnni.onnx'
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by FletchAmplyfi - opened
onnx/model_qint8_avx512_vnni.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:2728bfff3da3552c72389fcbc22fbf5dbc322a27221a886223850905bba5f26b
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size 23026050
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