Instructions to use thu-coai/EVA2.0-xlarge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thu-coai/EVA2.0-xlarge with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thu-coai/EVA2.0-xlarge", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bbb160fe0412dea61f467c2d9d40ef93318b053521915952a0f6cd455556c1a
- Size of remote file:
- 6.11 GB
- SHA256:
- 7aca068aaa36603f2e92dd0e03c429d188c2a7b0ff4b344160e48161a708bbbc
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