Instructions to use junnyu/ernie_gram with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use junnyu/ernie_gram with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="junnyu/ernie_gram")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("junnyu/ernie_gram") model = AutoModel.from_pretrained("junnyu/ernie_gram") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15efd6f88c697e731fdcf476cc7d9b878689d689ff060759714524346e2cdfdb
- Size of remote file:
- 400 MB
- SHA256:
- 96db526bd6ee3adf802e57a99a2dcbcfe12fe6e683b7a7e1009165e1bcc92d60
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