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.1656838102.6d65cfcd351c.80.0 from Sayan01/tiny-bert-stsb-distilled: direct link, hf CLI and curl.
- Browser
- Download file 3.74 kB
-
https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656838102.6d65cfcd351c.80.0
- Command line
-
hf download hf://Sayan01/tiny-bert-stsb-distilled/logs/events.out.tfevents.1656838102.6d65cfcd351c.80.0
-
curl -L -o events.out.tfevents.1656838102.6d65cfcd351c.80.0 https://huggingface.co/Sayan01/tiny-bert-stsb-distilled/resolve/main/logs/events.out.tfevents.1656838102.6d65cfcd351c.80.0
3.74 kB
- Xet hash:
- e6c54acdf4088dd92c4c5ea22a1269e60004fc424e51c66e9e168e59d32771b2
- Size of remote file:
- 3.74 kB
- SHA256:
- 6ea381c289f8c4d2347613cdb042fa226a626e8d49f92426357cbaacb14ee17a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.