Instructions to use google/bert_for_seq_generation_L-24_bbc_encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/bert_for_seq_generation_L-24_bbc_encoder with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder") model = AutoModel.from_pretrained("google/bert_for_seq_generation_L-24_bbc_encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from google/bert_for_seq_generation_L-24_bbc_encoder: direct link, hf CLI and curl.
- Browser
- Download file 500 Bytes
-
https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/config.json
- Command line
-
hf download hf://google/bert_for_seq_generation_L-24_bbc_encoder/config.json
-
curl -L -o config.json https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder/resolve/main/config.json
500 Bytes
| { | |
| "architectures": [ | |
| "BertForSeqGenerationEncoderModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "directionality": "bidi", | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert-generation", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 0, | |
| "vocab_size": 50358 | |
| } |