Instructions to use thu-coai/EVA2.0-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/EVA2.0-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thu-coai/EVA2.0-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63dd4356e494bcb93223862d30da225b0db488ace63d1b561bb20ff66c718d35
- Size of remote file:
- 602 MB
- SHA256:
- 17b5cb5196d946c4b7a96c6fbd0bf5d40bbffecc0427d8d99e194d414ccffb1b
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