Instructions to use GFBO/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GFBO/test_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GFBO/test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 510 Bytes
03fd67f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"architectures": [
"CustomTransformerModel"
],
"attention_probs_dropout_prob": 0.1,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 512,
"initializer_range": 0.02,
"intermediate_size": 2048,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "BSM_type",
"num_attention_heads": 8,
"num_hidden_layers": 8,
"pad_token_id": 50256,
"torch_dtype": "float32",
"transformers_version": "4.41.2",
"type_vocab_size": 2,
"vocab_size": 50257
}
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