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.1656848270.6d65cfcd351c.80.40 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 415 Bytes
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656848270.6d65cfcd351c.80.40
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656848270.6d65cfcd351c.80.40
-
curl -L -o events.out.tfevents.1656848270.6d65cfcd351c.80.40 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656848270.6d65cfcd351c.80.40
415 Bytes
- Xet hash:
- c4b5b62f21d51e7d3f5d708592791cadb4eaf15458290800a9bd0cbab20926ab
- Size of remote file:
- 415 Bytes
- SHA256:
- 12b5300c88d994f4c2143867043029d0a06af51540fabd28b402544a04abb01a
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