Model Details
Full Model IDFinLang/finance-embeddings-investopedia
Pipeline / Tasksentence-similarity
Librarysentence-transformers
Downloads (all-time)3.7M
Likes65
Last Modified4/30/2024
Author / OrgFinLang
PrivateNo � public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("sentence-similarity", model="FinLang/finance-embeddings-investopedia")
# Run inference
result = pipe("Your input here")
print(result)����� Tags
sentence-transformerssafetensorsbertfeature-extractionsentence-similaritylicense:cc-by-nc-4.0text-embeddings-inferenceendpoints_compatibledeploy:azureregion:us
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗�� Browse All Models🤖 Task: sentence-similarity
This model is designed for the sentence-similarity task. Explore more models for this use case.
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⬇ Downloads3.7M
����� Community Likes65
🛠�� Requirements
- →Install: pip install sentence-transformers
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.