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 logs/events.out.tfevents.1656845950.6d65cfcd351c.80.32 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 4.68 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656845950.6d65cfcd351c.80.32
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656845950.6d65cfcd351c.80.32
-
curl -L -o events.out.tfevents.1656845950.6d65cfcd351c.80.32 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656845950.6d65cfcd351c.80.32
4.68 kB
- Xet hash:
- ed4720d7748e43e0f504e0e8eeab4d0afb290b457f3b36bc6e5ae4f0f8b548cb
- Size of remote file:
- 4.68 kB
- SHA256:
- 30b16e50ab1b9963bc893a5c3bc8effc69acf25a6dee8e21f4889de6d0dbe716
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