You can deploy this model and start earning money today!

remiai3/
Keyword_Extraction-sentence-transformers_all-MiniLM-L6-v2

Name: Keyword_Extraction-sentence-transformers_all-MiniLM-L6-v2
Availability: InStock

sentence-transformers

sentence-transformers/all-MiniLM-L6-v2

finetune

apache-2.0

Views

No views yet

Keyword Extraction via Embeddings (CPU/GPU)

Model: sentence-transformers/all-MiniLM-L6-v2 (Apache-2.0)
Task: Extract top-N keywords using cosine similarity of candidate phrases.
Note: Here we just provide the resources for to run this models in the laptops we didn't develop this entire models we just use the open source models for the experiment this model is developed by sentence-transformers (Maintained by UKP Lab, TU Darmstadt)

Quick start (any project)

bash

# 1) Create env
python -m venv venv && source .venv/bin/activate  # Windows: ./venv/Scripts/activate

# 2) Install deps
pip install -r requirements.txt

# 3) Run
python main.py --help

Tip: If you have a GPU + CUDA, PyTorch will auto-use it. If not, everything runs on CPU (slower but works).

remiai3/Keyword_Extraction-sentence-transformers_all-MiniLM-L6-v2

Keyword Extraction via Embeddings (CPU/GPU)

Quick start (any project)

remiai3/
Keyword_Extraction-sentence-transformers_all-MiniLM-L6-v2