Feature Extraction
sentence-transformers
Safetensors
Transformers
Russian
English
t5
mteb
Eval Results (legacy)
Instructions to use ai-forever/FRIDA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
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] - Transformers
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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ai-forever/FRIDA") model = AutoModel.from_pretrained("ai-forever/FRIDA") - Inference
- Notebooks
- Google Colab
- Kaggle
Добавлен пропавший промпт в конфиг sentence_transformers
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by bulatovv - opened
config_sentence_transformers.json
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@@ -8,6 +8,7 @@
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"paraphrase": "paraphrase: ",
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"search_query": "search_query: ",
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"search_document": "search_document: ",
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"categorize_sentiment": "categorize_sentiment: ",
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"categorize_topic": "categorize_topic: ",
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"categorize_entailment": "categorize_entailment: "
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"paraphrase": "paraphrase: ",
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"search_query": "search_query: ",
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"search_document": "search_document: ",
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"categorize": "categorize: ",
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"categorize_sentiment": "categorize_sentiment: ",
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"categorize_topic": "categorize_topic: ",
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"categorize_entailment": "categorize_entailment: "
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