How to use EverMind-AI/skillrep-embedding-0.6b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("EverMind-AI/skillrep-embedding-0.6b") 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]
How to use EverMind-AI/skillrep-embedding-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EverMind-AI/skillrep-embedding-0.6b")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EverMind-AI/skillrep-embedding-0.6b") model = AutoModel.from_pretrained("EverMind-AI/skillrep-embedding-0.6b", device_map="auto")
https://huggingface.co/EverMind-AI/skillrep-embedding-0.6b/resolve/main/sentence_bert_config.json
hf download hf://EverMind-AI/skillrep-embedding-0.6b/sentence_bert_config.json
curl -L -o sentence_bert_config.json https://huggingface.co/EverMind-AI/skillrep-embedding-0.6b/resolve/main/sentence_bert_config.json
