Instructions to use hf-internal-testing/tiny-random-convbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-convbert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-convbert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 553 Bytes
7ed073d | 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,
"bos_token_id": 0,
"conv_kernel_size": 9,
"embedding_size": 768,
"eos_token_id": 2,
"head_ratio": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 32,
"initializer_range": 0.02,
"intermediate_size": 37,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "convbert",
"num_attention_heads": 4,
"num_groups": 1,
"num_hidden_layers": 5,
"pad_token_id": 1,
"transformers_version": "4.10.0.dev0",
"type_vocab_size": 16,
"vocab_size": 99
}
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