Fill-Mask
Transformers
Safetensors
English
modernbert_small
babylm
babylm-2026
modernbert
masked-language-model
strict-small
custom_code
Instructions to use remg1997/modernbert-small-modernbert-small-factorized-linear-babylm2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use remg1997/modernbert-small-modernbert-small-factorized-linear-babylm2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="remg1997/modernbert-small-modernbert-small-factorized-linear-babylm2026", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("remg1997/modernbert-small-modernbert-small-factorized-linear-babylm2026", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "ModernBertSmallForMaskedLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attention_pattern": "alternating", | |
| "auto_map": { | |
| "AutoConfig": "configuration_modernbert_small.ModernBertSmallConfig", | |
| "AutoModelForMaskedLM": "modeling_modernbert_small.ModernBertSmallForMaskedLM", | |
| "AutoModel": "modeling_modernbert_small.ModernBertSmallModel" | |
| }, | |
| "dtype": "float32", | |
| "embedding_dropout": 0.0, | |
| "embedding_type": "factorized_linear", | |
| "factorized_linear_bottleneck_dim": 128, | |
| "factorized_mlp_bottleneck_dim": 128, | |
| "global_attn_every_n_layers": 3, | |
| "global_rope_theta": 160000.0, | |
| "hidden_activation": "gelu", | |
| "hidden_size": 384, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 576, | |
| "local_attention_window": 128, | |
| "local_rope_theta": 10000.0, | |
| "mlp_dropout": 0.0, | |
| "model_type": "modernbert_small", | |
| "norm_eps": 1e-05, | |
| "num_attention_heads": 6, | |
| "num_hidden_layers": 16, | |
| "pad_token_id": 0, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "4.57.6", | |
| "vocab_size": 30522 | |
| } |