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 training_args.bin from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 3.38 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/d985db03443a1f9863b85a00f471090ee3b9056a/training_args.bin
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled@d985db03443a1f9863b85a00f471090ee3b9056a/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/d985db03443a1f9863b85a00f471090ee3b9056a/training_args.bin
3.38 kB
- Xet hash:
- 5696c64bfb344208b50984afe7bbddbfd62f642533004494e4024640e2970769
- Size of remote file:
- 3.38 kB
- SHA256:
- 964382e972fb1316ea79732c2c64168af681edabbd36ec2542fe678c90da040c
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