Feature Extraction
sentence-transformers
Safetensors
slideon
sparse
sentence-similarity
custom-code
multilingual
code-search
sparse-retrieval
matryoshka
custom_code
🇪🇺 Region: EU
Instructions to use lightonai/mSlideOn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/mSlideOn with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("lightonai/mSlideOn", trust_remote_code=True) sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
Download config.json from lightonai/mSlideOn: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/lightonai/mSlideOn/resolve/main/config.json
- Command line
-
hf download hf://lightonai/mSlideOn/config.json
-
curl -L -o config.json https://huggingface.co/lightonai/mSlideOn/resolve/main/config.json
3.64 kB
| { | |
| "architectures": [ | |
| "SlideOnModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "modeling_slideon.SlideOnConfig", | |
| "AutoModel": "modeling_slideon.SlideOnModel" | |
| }, | |
| "backbone_config": { | |
| "architectures": [ | |
| "ModernBertModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 2, | |
| "classifier_activation": "gelu", | |
| "classifier_bias": false, | |
| "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, | |
| "gradient_checkpointing": false, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 768, | |
| "initializer_cutoff_factor": 2.0, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 1152, | |
| "layer_norm_eps": 1e-05, | |
| "layer_types": [ | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "local_attention": 128, | |
| "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": 12, | |
| "num_hidden_layers": 22, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "sans_pos", | |
| "repad_logits_with_grad": false, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 160000, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 160000, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sep_token_id": 1, | |
| "sparse_pred_ignore_index": -100, | |
| "sparse_prediction": false, | |
| "tie_word_embeddings": true, | |
| "vocab_size": 256002 | |
| }, | |
| "base_model": "lightonai/mLateOn", | |
| "base_model_revision": "edd378f99593c0ac8a15518b97ad89786b02685e", | |
| "checkpoint_type": "retrieval", | |
| "head_config": { | |
| "d_lift": 768, | |
| "d_model": 128, | |
| "has_decoder": false, | |
| "hidden_dim": 1536, | |
| "n_latents": 32768 | |
| }, | |
| "inference": { | |
| "document_length": 8192, | |
| "document_max_active_dims": null, | |
| "head_chunk_size": 2048, | |
| "pooling": "max_relu", | |
| "prompts": { | |
| "document": "", | |
| "query": "" | |
| }, | |
| "query_length": 8192, | |
| "query_max_active_dims": null, | |
| "score": "dot", | |
| "token_k": 32 | |
| }, | |
| "model_type": "slideon", | |
| "projection_configs": [ | |
| { | |
| "activation_function": "torch.nn.modules.linear.Identity", | |
| "bias": false, | |
| "in_features": 768, | |
| "out_features": 1536, | |
| "use_residual": true | |
| }, | |
| { | |
| "activation_function": "torch.nn.modules.linear.Identity", | |
| "bias": false, | |
| "in_features": 1536, | |
| "out_features": 768, | |
| "use_residual": true | |
| }, | |
| { | |
| "activation_function": "torch.nn.modules.linear.Identity", | |
| "bias": false, | |
| "in_features": 768, | |
| "out_features": 128, | |
| "use_residual": false | |
| } | |
| ], | |
| "sae_path": "lightonai/mSlideOn-SAE", | |
| "skip_token_ids": [], | |
| "tokenizer_settings": { | |
| "document_prefix": "[D] ", | |
| "query_prefix": "[Q] ", | |
| "skiplist_words": [] | |
| }, | |
| "transformers_version": "5.3.0" | |
| } | |