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")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

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

Notebooks
Google Colab
Kaggle
Local Apps

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

Update README.md

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Ashishkr commited on Oct 13, 2023

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Ashishkr commited on Apr 18, 2021

Update README.md

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Ashishkr commited on Apr 11, 2021

Create README.md

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Ashishkr commited on Apr 10, 2021

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ashish kumar commited on Apr 10, 2021

initial commit

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system HF Staff commited on Apr 6, 2021

Commit History

Update README.md b66385b

upload flax model ea2da84

allow flax 3ad8c9a

Update README.md c8b3b94

Update README.md a36e001

Create README.md 335a031

uploading model files 730b509

initial commit 979b7e3