Instructions to use apus-ailab/APUS-OpenJev-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use apus-ailab/APUS-OpenJev-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("apus-ailab/APUS-OpenJev-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 811 Bytes
b008be4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"schema": "apus-openjev-family.v1",
"repo_id": "apus-ailab/APUS-OpenJev-v1",
"description": "Select a complete model subdirectory; this is family metadata, not a Transformers model config.",
"variants": {
"4B-5949": {
"subfolder": "4B-5949",
"config_sha256": "4b53bdb886bb68d228841409c2db2f5d7eb670c28ae4376849f58d3bd014968d",
"checkpoint": 5949,
"dtype": "bfloat16"
},
"9B-3000": {
"subfolder": "9B-3000",
"config_sha256": "b1d02fb6b40aeba43105ca558b2532f31d062e0bd95bce564d9996c0a34b4211",
"checkpoint": 3000,
"dtype": "bfloat16"
},
"9B-5949": {
"subfolder": "9B-5949",
"config_sha256": "b1d02fb6b40aeba43105ca558b2532f31d062e0bd95bce564d9996c0a34b4211",
"checkpoint": 5949,
"dtype": "bfloat16"
}
}
}
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