Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use GreenNode/GreenNode-Embedding-Large-1007 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use GreenNode/GreenNode-Embedding-Large-1007 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("GreenNode/GreenNode-Embedding-Large-1007") 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] - Notebooks
- Google Colab
- Kaggle
Download config.json from GreenNode/GreenNode-Embedding-Large-1007: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
-
https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/config.json
- Command line
-
hf download hf://GreenNode/GreenNode-Embedding-Large-1007/config.json
-
curl -L -o config.json https://huggingface.co/GreenNode/GreenNode-Embedding-Large-1007/resolve/main/config.json
736 Bytes
| { | |
| "_name_or_path": "GreenNode/GreenNode-Embedding-Large-Instruct-1007", | |
| "architectures": [ | |
| "XLMRobertaModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 0, | |
| "classifier_dropout": null, | |
| "eos_token_id": 2, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 8194, | |
| "model_type": "xlm-roberta", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.41.2", | |
| "type_vocab_size": 1, | |
| "use_cache": true, | |
| "vocab_size": 250002 | |
| } | |