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.1656849191.6d65cfcd351c.80.43 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 10.1 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656849191.6d65cfcd351c.80.43
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656849191.6d65cfcd351c.80.43
-
curl -L -o events.out.tfevents.1656849191.6d65cfcd351c.80.43 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656849191.6d65cfcd351c.80.43
10.1 kB
- Xet hash:
- a4dc335af82a013b02532b495bcaab906c2273aeac09cefcb80aceb327dbace0
- Size of remote file:
- 10.1 kB
- SHA256:
- 254c10e5099ee84d9569851ef55eec07405af8fcad875e597a64c45e03eddf28
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