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.1656840351.6d65cfcd351c.80.30 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 5.16 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656840351.6d65cfcd351c.80.30
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656840351.6d65cfcd351c.80.30
-
curl -L -o events.out.tfevents.1656840351.6d65cfcd351c.80.30 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656840351.6d65cfcd351c.80.30
5.16 kB
- Xet hash:
- 75b65318d09ee552771e401b956447bb8a30c4d6ebeb0f43ce31268aff4e1f87
- Size of remote file:
- 5.16 kB
- SHA256:
- ce096d720a9b7962ad774f4b8ccb9c271fbb1577b38f4ad629e95ee259492b5c
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