Instructions to use DignityInDifference/keepmesane-en-v1.0-202607 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DignityInDifference/keepmesane-en-v1.0-202607 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DignityInDifference/keepmesane-en-v1.0-202607", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,310 Bytes
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"bos_token_id": 2,
"classifier_activation": "gelu",
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"classifier_dropout": 0.0,
"classifier_pooling": "mean",
"cls_token_id": 1,
"decoder_bias": true,
"deterministic_flash_attn": false,
"dtype": "float32",
"embedding_dropout": 0.0,
"eos_token_id": 1,
"global_attn_every_n_layers": 3,
"global_rope_theta": 160000,
"gradient_checkpointing": false,
"hidden_activation": "gelu",
"hidden_size": 384,
"initializer_cutoff_factor": 2.0,
"initializer_range": 0.02,
"intermediate_size": 1152,
"layer_norm_eps": 1E-05,
"local_attention": 128,
"local_rope_theta": 160000,
"mask_token_id": 4,
"max_position_embeddings": 8192,
"mlp_bias": false,
"mlp_dropout": 0.0,
"model_type": "modernbert",
"norm_bias": false,
"norm_eps": 1E-05,
"num_attention_heads": 6,
"num_hidden_layers": 22,
"pad_token_id": 0,
"position_embedding_type": "sans_pos",
"repad_logits_with_grad": false,
"sep_token_id": 1,
"sparse_pred_ignore_index": -100,
"sparse_prediction": false,
"vocab_size": 256000,
"num_labels": 14
} |