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/be3cca36fc29d8d0ece52174c34589f68282c045/pytorch_model.bin
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled@be3cca36fc29d8d0ece52174c34589f68282c045/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/be3cca36fc29d8d0ece52174c34589f68282c045/pytorch_model.bin
57.4 MB
- Xet hash:
- 2ef54c0bcbe46b943ce4b3eadd2743a55f7e1bb3964961b3abc07a78835c5d61
- Size of remote file:
- 57.4 MB
- SHA256:
- 6aa62d438200502a88b8e141f3fecf0a9e563c7f0e1977c8e69d4339d4209a31
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