Feature Extraction
Transformers
Safetensors
sentence-transformers
Armenian
llama
text-embeddings-inference
Instructions to use alexshah/armembed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexshah/armembed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alexshah/armembed")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alexshah/armembed") model = AutoModel.from_pretrained("alexshah/armembed") - sentence-transformers
How to use alexshah/armembed with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("alexshah/armembed") 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
Upload special_tokens_map.json with huggingface_hub
Browse files- special_tokens_map.json +3 -21
special_tokens_map.json
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