Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use namvandy/bert-base-finetuned-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use namvandy/bert-base-finetuned-sts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="namvandy/bert-base-finetuned-sts")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("namvandy/bert-base-finetuned-sts") model = AutoModelForSequenceClassification.from_pretrained("namvandy/bert-base-finetuned-sts") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26a9e66c03f237ad79fa653ecdd41fc5bea45dcd83e0831df5a00eb108a7681e
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size 442500180
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