Instructions to use lysandre/tiny-bert-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-bert-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-bert-random") model = AutoModelForPreTraining.from_pretrained("lysandre/tiny-bert-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 553 Bytes
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"_name_or_path": "lysandre/tiny-bert-random",
"architectures": [
"BertForPreTraining"
],
"attention_probs_dropout_prob": 0.1,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 4,
"initializer_range": 0.02,
"intermediate_size": 4,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 2,
"num_hidden_layers": 2,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"type_vocab_size": 2,
"vocab_size": 32000
}
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