Instructions to use PaddleCI/tiny-random-plato-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-plato-mini with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, UnifiedTransformerLMHeadModel tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-plato-mini", from_hf_hub=True) model = UnifiedTransformerLMHeadModel.from_pretrained("PaddleCI/tiny-random-plato-mini", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
File size: 640 Bytes
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"init_args": [
{
"vocab_size": 30001,
"hidden_size": 8,
"num_hidden_layers": 2,
"num_attention_heads": 2,
"intermediate_size": 8,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"normalize_before": true,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"initializer_range": 0.02,
"unk_token_id": 0,
"pad_token_id": 0,
"bos_token_id": 1,
"eos_token_id": 2,
"mask_token_id": 30000,
"init_class": "UnifiedTransformerModel"
}
],
"init_class": "UnifiedTransformerLMHeadModel"
} |