Text Classification
Transformers
Safetensors
document-scoring
education
norwegian
nordic
🇪🇺 Region: EU
Instructions to use NbAiLab/nb-embed-edu-scorer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/nb-embed-edu-scorer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NbAiLab/nb-embed-edu-scorer")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NbAiLab/nb-embed-edu-scorer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download encoder/config.json from NbAiLab/nb-embed-edu-scorer: direct link, hf CLI and curl.
- Browser
- Download file 1.43 kB
-
https://huggingface.co/NbAiLab/nb-embed-edu-scorer/resolve/main/encoder/config.json
- Command line
-
hf download hf://NbAiLab/nb-embed-edu-scorer/encoder/config.json
-
curl -L -o config.json https://huggingface.co/NbAiLab/nb-embed-edu-scorer/resolve/main/encoder/config.json
1.43 kB
| { | |
| "_sliding_window_pattern": 4, | |
| "architectures": [ | |
| "Gemma3TextModel" | |
| ], | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "attn_logit_softcapping": null, | |
| "bos_token_id": 1, | |
| "cls_token_id": 5, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 2, | |
| "final_logit_softcapping": null, | |
| "head_dim": 64, | |
| "hidden_activation": "silu", | |
| "hidden_size": 768, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "layer_types": [ | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "sliding_attention", | |
| "full_attention" | |
| ], | |
| "mask_token_id": 4, | |
| "max_position_embeddings": 8192, | |
| "model_type": "gemma3_text", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "num_key_value_heads": 12, | |
| "pad_token_id": 3, | |
| "prefix_token_ids": [ | |
| 1 | |
| ], | |
| "query_pre_attn_scalar": 64, | |
| "rms_norm_eps": 1e-07, | |
| "rope_parameters": { | |
| "full_attention": { | |
| "rope_theta": 100000, | |
| "rope_type": "default" | |
| }, | |
| "sliding_attention": { | |
| "rope_theta": 10000, | |
| "rope_type": "default" | |
| } | |
| }, | |
| "sliding_window": 1024, | |
| "tie_word_embeddings": true, | |
| "transformers_version": "5.17.0", | |
| "unk_token_id": 0, | |
| "use_bidirectional_attention": true, | |
| "use_cache": false, | |
| "vocab_size": 128000 | |
| } | |