Instructions to use samanehs/bert_base_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samanehs/bert_base_en with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("samanehs/bert_base_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 507 Bytes
308ee80 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"module": "keras_nlp.src.models.bert.bert_backbone",
"class_name": "BertBackbone",
"config": {
"name": "bert_backbone",
"trainable": true,
"vocabulary_size": 30522,
"num_layers": 2,
"num_heads": 2,
"hidden_dim": 128,
"intermediate_dim": 512,
"dropout": 0.1,
"max_sequence_length": 512,
"num_segments": 2
},
"registered_name": "keras_nlp>BertBackbone",
"assets": [],
"weights": "model.weights.h5"
} |