How to use ai-forever/FRIDA with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ai-forever/FRIDA") 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 ai-forever/FRIDA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ai-forever/FRIDA")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ai-forever/FRIDA") model = AutoModel.from_pretrained("ai-forever/FRIDA", device_map="auto")
https://huggingface.co/ai-forever/FRIDA/resolve/971dfabb5ffa5d2b7b4f927b5372e05be2086355/tokenizer.json
hf download hf://ai-forever/FRIDA@971dfabb5ffa5d2b7b4f927b5372e05be2086355/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/ai-forever/FRIDA/resolve/971dfabb5ffa5d2b7b4f927b5372e05be2086355/tokenizer.json
