Instructions to use BigSalmon/ConvertLowercaseToUppercase3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BigSalmon/ConvertLowercaseToUppercase3 with Transformers:

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

pipe = pipeline("text-generation", model="BigSalmon/ConvertLowercaseToUppercase3")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BigSalmon/ConvertLowercaseToUppercase3")
model = AutoModelForCausalLM.from_pretrained("BigSalmon/ConvertLowercaseToUppercase3")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use BigSalmon/ConvertLowercaseToUppercase3 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "BigSalmon/ConvertLowercaseToUppercase3"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "BigSalmon/ConvertLowercaseToUppercase3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/BigSalmon/ConvertLowercaseToUppercase3

SGLang

How to use BigSalmon/ConvertLowercaseToUppercase3 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 "BigSalmon/ConvertLowercaseToUppercase3" \
    --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": "BigSalmon/ConvertLowercaseToUppercase3",
		"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 "BigSalmon/ConvertLowercaseToUppercase3" \
        --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": "BigSalmon/ConvertLowercaseToUppercase3",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BigSalmon/ConvertLowercaseToUppercase3 with Docker Model Runner:
```
docker model run hf.co/BigSalmon/ConvertLowercaseToUppercase3
```

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Check out the documentation for more information.

Example prompt (I am going to be training it on a larger dataset later).

lowercase: that heady and almost intoxicating mix of ripening dairy produce and friendly competition was swirling around a conference center in the united kingdom on wednesday as 250 international judges sniffed, prodded and chomped their way along tables groaning with cheese to decide which should take the crown at the 2022 edition of the world cheese awards.
actual: That heady and almost intoxicating mix of ripening dairy produce and friendly competition was swirling around a conference center in the United Kingdom on Wednesday as 250 international judges sniffed, prodded and chomped their way along tables groaning with cheese to decide which should take the crown at the 2022 edition of the World Cheese Awards.

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