Instructions to use Sayan01/tiny-bert-stsb-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/tiny-bert-stsb-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/tiny-bert-stsb-distilled")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/tiny-bert-stsb-distilled") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/tiny-bert-stsb-distilled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 57.4 MB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/0e37ce63b3232514b3472a379d6cb3de43b44df1/pytorch_model.bin
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled@0e37ce63b3232514b3472a379d6cb3de43b44df1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/0e37ce63b3232514b3472a379d6cb3de43b44df1/pytorch_model.bin
57.4 MB
- Xet hash:
- 903d72cec9248134c25daa0d7f96ddb2c5d34e483e1584ffa9bd45bd621821c3
- Size of remote file:
- 57.4 MB
- SHA256:
- 95059a299e1902b8112393ec476ac6228dbb95eb5e5a645fa49bffbd556a8f92
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