Instructions to use gg-ai/tiny-bert-2301-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-bert-2301-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-bert-2301-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-bert-2301-2") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-bert-2301-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 551002035f236c112315f41039922dc52878577d4ca97f79135dc1011a3aa597
- Size of remote file:
- 21.4 MB
- SHA256:
- ddc86550a084bb542af403c7308228a7e4418b4f0df96a2fad6ada69f0a5bf4f
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