Sentence Similarity
sentence-transformers
Safetensors
Transformers
Korean
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use SamilPwC-AXNode-GenAI/PwC-Embedding_expr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use SamilPwC-AXNode-GenAI/PwC-Embedding_expr with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("SamilPwC-AXNode-GenAI/PwC-Embedding_expr") 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 SamilPwC-AXNode-GenAI/PwC-Embedding_expr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("SamilPwC-AXNode-GenAI/PwC-Embedding_expr") model = AutoModelForMultimodalLM.from_pretrained("SamilPwC-AXNode-GenAI/PwC-Embedding_expr") - Notebooks
- Google Colab
- Kaggle
Commit History
Add Model card 4c73846 verified
Clean up repo: remove optimizer and training state files for inference-only usage 3335897
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Update README.md 34eb973 verified
Add: Model Embedding 080702 a622f53
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