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")# 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") - Inference
- Notebooks
- Google Colab
- Kaggle
Download config_sentence_transformers.json from ai-forever/FRIDA: direct link, hf CLI and curl.
- Browser
- Download file 509 Bytes
-
https://huggingface.co/ai-forever/FRIDA/resolve/main/config_sentence_transformers.json
- Command line
-
hf download hf://ai-forever/FRIDA/config_sentence_transformers.json
-
curl -L -o config_sentence_transformers.json https://huggingface.co/ai-forever/FRIDA/resolve/main/config_sentence_transformers.json
509 Bytes
| { | |
| "__version__": { | |
| "sentence_transformers": "2.7.0", | |
| "transformers": "4.40.1", | |
| "pytorch": "2.2.1+cu118" | |
| }, | |
| "prompts": { | |
| "paraphrase": "paraphrase: ", | |
| "search_query": "search_query: ", | |
| "search_document": "search_document: ", | |
| "categorize": "categorize: ", | |
| "categorize_sentiment": "categorize_sentiment: ", | |
| "categorize_topic": "categorize_topic: ", | |
| "categorize_entailment": "categorize_entailment: " | |
| }, | |
| "default_prompt_name": null, | |
| "similarity_fn_name": null | |
| } |