Instructions to use deepset/gelectra-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/gelectra-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("deepset/gelectra-base") model = AutoModelForPreTraining.from_pretrained("deepset/gelectra-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 440 Bytes
9d3c48b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"architectures": [
"ElectraForPreTraining"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": null,
"hidden_size": 768,
"intermediate_size": 3072,
"num_attention_heads": 12,
"num_hidden_layers": 12,
"embedding_size": 768,
"hidden_act": "gelu",
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "electra",
"type_vocab_size": 2,
"vocab_size": 31102
}
|