Instructions to use gg-ai/tiny-bert-0102-5500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-bert-0102-5500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-bert-0102-5500")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-bert-0102-5500") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-bert-0102-5500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 310739202fa4f5b4b5457af5fba372c0f2fbf4802926c283ac10400a7f2a3c80
- Size of remote file:
- 798 kB
- SHA256:
- 28c98d44f2c8ba92d861c8705ca4386454387ac7070fb00e9cd934f401387656
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.