Instructions to use Ashishkr/grammar_correction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ashishkr/grammar_correction with Transformers:

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

pipe = pipeline("text-generation", model="Ashishkr/grammar_correction")

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

tokenizer = AutoTokenizer.from_pretrained("Ashishkr/grammar_correction")
model = AutoModelForCausalLM.from_pretrained("Ashishkr/grammar_correction", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Ashishkr/grammar_correction with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Ashishkr/grammar_correction

SGLang

How to use Ashishkr/grammar_correction 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 "Ashishkr/grammar_correction" \
    --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": "Ashishkr/grammar_correction",
		"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 "Ashishkr/grammar_correction" \
        --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": "Ashishkr/grammar_correction",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Ashishkr/grammar_correction with Docker Model Runner:
```
docker model run hf.co/Ashishkr/grammar_correction
```

grammar_correction

Commit History

Nov 5, 2024

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Adding `safetensors` variant of this model⁠

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ashish kumar

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system HF Staff

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Commit History

Nov 5, 2024

Adding `safetensors` variant of this model⁠

Oct 13, 2023

Update README.md

May 23, 2021

upload flax model

allow flax

Apr 18, 2021

Update README.md

Apr 11, 2021

Update README.md

Apr 10, 2021

Create README.md

uploading model files

Apr 6, 2021

initial commit