Instructions to use zerohell/tinydpr-acc_0.315-bs_307 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zerohell/tinydpr-acc_0.315-bs_307 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zerohell/tinydpr-acc_0.315-bs_307", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 667 Bytes
5e9da4d | 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 27 | {
"_name_or_path": "D:\\static\\trained model\\tinybert-4L-zh",
"attention_probs_dropout_prob": 0.1,
"cell": {},
"classifier_dropout": null,
"emb_size": 312,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"initializer_range": 0.02,
"intermediate_size": 1200,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 4,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"pre_trained": "",
"structure": [],
"training": "",
"transformers_version": "4.26.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 21128
}
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