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
Add exported onnx model 'model_qint8_avx512_vnni.onnx'
#3
by Georgyyy - opened
onnx/model_qint8_avx512_vnni.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:857a21ae73fd867dba494d029f3e593a349b50f2a6f63ae66b6829cc1bc44e6f
|
| 3 |
+
size 1736656561
|