Instructions to use ajtorek/BridgeTower-Text-Generator-Discriminator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ajtorek/BridgeTower-Text-Generator-Discriminator with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import GeneratorDiscriminatorTransformer model = GeneratorDiscriminatorTransformer.from_pretrained("ajtorek/BridgeTower-Text-Generator-Discriminator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from ajtorek/BridgeTower-Text-Generator-Discriminator: direct link, hf CLI and curl.
- Browser
- Download file 981 Bytes
-
https://huggingface.co/ajtorek/BridgeTower-Text-Generator-Discriminator/resolve/main/config.json
- Command line
-
hf download hf://ajtorek/BridgeTower-Text-Generator-Discriminator/config.json
-
curl -L -o config.json https://huggingface.co/ajtorek/BridgeTower-Text-Generator-Discriminator/resolve/main/config.json
981 Bytes
| { | |
| "add_cross_attentions": false, | |
| "architectures": [ | |
| "GeneratorDiscriminatorTransformer" | |
| ], | |
| "attention_implementation": "sdpa", | |
| "attention_probability_dropout_probability": 0.1, | |
| "bos_token_id": 0, | |
| "discriminator_weight": 0.15, | |
| "dropout_probability": 0.1, | |
| "embedding_size": 512, | |
| "eos_token_id": 2, | |
| "generator_to_discriminator_ratio": 4, | |
| "hidden_activation_function": "gelu", | |
| "hidden_size": 768, | |
| "initializer_factor": 1.0, | |
| "intermediate_size": 3072, | |
| "intializer_factor": 1.0, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_intermediate_layers": 1, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "share_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.48.3", | |
| "type_vocab_size": 1, | |
| "use_cache": false, | |
| "vocab_size": 50265, | |
| "wac_distribution_layers": [], | |
| "wac_distribution_matrix": "none", | |
| "wac_embedding_size": -1 | |
| } | |