Instructions to use Ranjit0034/finance-entity-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ranjit0034/finance-entity-extractor with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Ranjit0034/finance-entity-extractor", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ranjit0034/finance-entity-extractor", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("Ranjit0034/finance-entity-extractor", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Ranjit0034/finance-entity-extractor with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ranjit0034/finance-entity-extractor"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ranjit0034/finance-entity-extractor",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Ranjit0034/finance-entity-extractor

SGLang

How to use Ranjit0034/finance-entity-extractor with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Ranjit0034/finance-entity-extractor" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ranjit0034/finance-entity-extractor",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Ranjit0034/finance-entity-extractor" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ranjit0034/finance-entity-extractor",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Ranjit0034/finance-entity-extractor with Docker Model Runner:
```
docker model run hf.co/Ranjit0034/finance-entity-extractor
```

finance-entity-extractor / src /finee

Commit History

Jan 13

21:14
Upload src/finee/pdf_parser.py with huggingface_hub

Ranjit0034

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f60e9c2
20:13
Upload src/finee/__init__.py with huggingface_hub

Ranjit0034

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fd25f34
20:13
Upload src/finee/ui.py with huggingface_hub

Ranjit0034

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656419f
20:13
Upload src/finee/api.py with huggingface_hub

Ranjit0034

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e729c58
20:13
Upload src/finee/rag.py with huggingface_hub

Ranjit0034

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123b3e7

Jan 10

22:12
Clean up repo structure and add benchmark⁠

Ranjit Behera

6a76e07
22:02
Fix: Default to regex-only mode for instant usage⁠

Ranjit Behera

c876830
20:49
FinEE v1.0 - Finance Entity Extractor⁠

Ranjit Behera

dcc24f8

Ranjit0034
/

finance-entity-extractor

Commit History

Jan 13

Upload src/finee/pdf_parser.py with huggingface_hub

Upload src/finee/init.py with huggingface_hub

Upload src/finee/ui.py with huggingface_hub

Upload src/finee/api.py with huggingface_hub

Upload src/finee/rag.py with huggingface_hub

Jan 10

Clean up repo structure and add benchmark⁠

Fix: Default to regex-only mode for instant usage⁠

FinEE v1.0 - Finance Entity Extractor⁠

Commit History

Jan 13

Upload src/finee/pdf_parser.py with huggingface_hub

Upload src/finee/__init__.py with huggingface_hub

Upload src/finee/ui.py with huggingface_hub

Upload src/finee/api.py with huggingface_hub

Upload src/finee/rag.py with huggingface_hub

Jan 10

Clean up repo structure and add benchmark⁠

Fix: Default to regex-only mode for instant usage⁠

FinEE v1.0 - Finance Entity Extractor⁠

Upload src/finee/init.py with huggingface_hub