Feature Extraction
sentence-transformers
Safetensors
Transformers
English
mistraldual
sentence-similarity
custom_code
Instructions to use GeoGPT-Research-Project/GeoEmbedding with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GeoGPT-Research-Project/GeoEmbedding with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GeoGPT-Research-Project/GeoEmbedding", 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] - Transformers
How to use GeoGPT-Research-Project/GeoEmbedding with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="GeoGPT-Research-Project/GeoEmbedding", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GeoGPT-Research-Project/GeoEmbedding", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 784 Bytes
7732666 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"architectures": [
"MistralDualModel"
],
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_mistral_dual.MistralDualConfig",
"AutoModel": "modeling_mistral_dual.MistralDualModel"
},
"bos_token_id": 1,
"eos_token_id": 2,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 14336,
"max_position_embeddings": 32768,
"model_type": "mistraldual",
"num_attention_heads": 32,
"num_hidden_layers": 32,
"num_key_value_heads": 8,
"pad_token_id": 2,
"rms_norm_eps": 1e-05,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.51.3",
"use_cache": false,
"vocab_size": 32000
}
|