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.1656847791.6d65cfcd351c.80.38 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 17.4 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656847791.6d65cfcd351c.80.38
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656847791.6d65cfcd351c.80.38
-
curl -L -o events.out.tfevents.1656847791.6d65cfcd351c.80.38 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656847791.6d65cfcd351c.80.38
17.4 kB
- Xet hash:
- ff90287d4665f88d7715443c22fb595a4b20c89b424e0969b9108a5bdfd0ef82
- Size of remote file:
- 17.4 kB
- SHA256:
- 37a29a438b56fa0bb833e9895003d84d934b79c78a03ff7634dcc8595f369417
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