Sentence Similarity
sentence-transformers
Safetensors
Transformers
new
feature-extraction
mteb
custom_code
Eval Results (legacy)
text-embeddings-inference
Instructions to use Gem-Software/stella-v5.2-boost15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Gem-Software/stella-v5.2-boost15 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Gem-Software/stella-v5.2-boost15", trust_remote_code=True) sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use Gem-Software/stella-v5.2-boost15 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gem-Software/stella-v5.2-boost15", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "NewModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration.NewConfig", | |
| "AutoModel": "modeling.NewModel" | |
| }, | |
| "classifier_dropout": null, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-12, | |
| "layer_norm_type": "layer_norm", | |
| "logn_attention_clip1": false, | |
| "logn_attention_scale": false, | |
| "max_position_embeddings": 8192, | |
| "model_type": "new", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pack_qkv": true, | |
| "pad_token_id": 0, | |
| "position_embedding_type": "rope", | |
| "rope_scaling": { | |
| "factor": 2.0, | |
| "type": "ntk" | |
| }, | |
| "rope_theta": 160000, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2", | |
| "type_vocab_size": 2, | |
| "unpad_inputs": true, | |
| "use_memory_efficient_attention": true, | |
| "vocab_size": 30528 | |
| } |