Instructions to use gg-ai/tiny-bert-2301 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gg-ai/tiny-bert-2301 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gg-ai/tiny-bert-2301")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gg-ai/tiny-bert-2301") model = AutoModelForSequenceClassification.from_pretrained("gg-ai/tiny-bert-2301", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from gg-ai/tiny-bert-2301: direct link, hf CLI and curl.
- Browser
- Download file 21.4 MB
-
https://huggingface.co/gg-ai/tiny-bert-2301/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://gg-ai/tiny-bert-2301/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/gg-ai/tiny-bert-2301/resolve/main/pytorch_model.bin
21.4 MB
- Xet hash:
- 6b3637905f04b3c10629669e041ca53ba2b006e6c920df79ba31d49d765a12d6
- Size of remote file:
- 21.4 MB
- SHA256:
- 1a0dc19eb20d716384dc11cf2fc40ff322af8b750b5e8d894959ccfd9c20d61d
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