Instructions to use cyrilvallez/nomic-bert-native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyrilvallez/nomic-bert-native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="cyrilvallez/nomic-bert-native")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("cyrilvallez/nomic-bert-native") model = AutoModel.from_pretrained("cyrilvallez/nomic-bert-native") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "NomicBertModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "bos_token_id": null, | |
| "classifier_dropout": null, | |
| "dtype": "float32", | |
| "eos_token_id": null, | |
| "head_dim": 1, | |
| "hidden_act": "silu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 12, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 16, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 2048, | |
| "model_type": "nomic_bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 0, | |
| "rope_parameters": { | |
| "rope_theta": 1000.0, | |
| "rope_type": "default" | |
| }, | |
| "transformers_version": "5.13.0.dev0", | |
| "type_vocab_size": 2, | |
| "vocab_size": 99 | |
| } | |