Instructions to use tuandunghcmut/solider_base_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tuandunghcmut/solider_base_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="tuandunghcmut/solider_base_224", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tuandunghcmut/solider_base_224", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ced64ceecf25eb78fc782bc0ab9e90f4e79a50245620bb0b7d96bbc40b0ff819
- Size of remote file:
- 348 MB
- SHA256:
- 4f69b0364dd102a368bcf73928e645edfe6e723acb1195f18b6ab55dec4f918d
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