Instructions to use rrsong/utc-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rrsong/utc-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rrsong/utc-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 553 Bytes
535531e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"attention_probs_dropout_prob": 0.1,
"enable_recompute": false,
"fuse": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"initializer_range": 0.02,
"intermediate_size": 3072,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 2048,
"model_type": "ernie",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"paddlenlp_version": null,
"pool_act": "tanh",
"task_id": 0,
"task_type_vocab_size": 3,
"type_vocab_size": 4,
"use_task_id": false,
"vocab_size": 39981
}
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