Instructions to use ToPo-ToPo/my-lora-model-based-line-3.6b-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ToPo-ToPo/my-lora-model-based-line-3.6b-sft with Transformers:

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

pipe = pipeline("text-generation", model="ToPo-ToPo/my-lora-model-based-line-3.6b-sft")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ToPo-ToPo/my-lora-model-based-line-3.6b-sft")
model = AutoModelForCausalLM.from_pretrained("ToPo-ToPo/my-lora-model-based-line-3.6b-sft")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ToPo-ToPo/my-lora-model-based-line-3.6b-sft with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ToPo-ToPo/my-lora-model-based-line-3.6b-sft"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ToPo-ToPo/my-lora-model-based-line-3.6b-sft",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/ToPo-ToPo/my-lora-model-based-line-3.6b-sft

SGLang

How to use ToPo-ToPo/my-lora-model-based-line-3.6b-sft 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 "ToPo-ToPo/my-lora-model-based-line-3.6b-sft" \
    --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": "ToPo-ToPo/my-lora-model-based-line-3.6b-sft",
		"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 "ToPo-ToPo/my-lora-model-based-line-3.6b-sft" \
        --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": "ToPo-ToPo/my-lora-model-based-line-3.6b-sft",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use ToPo-ToPo/my-lora-model-based-line-3.6b-sft with Docker Model Runner:
```
docker model run hf.co/ToPo-ToPo/my-lora-model-based-line-3.6b-sft
```

my-lora-model-based-line-3.6b-sft

Commit History

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O.S commited on Sep 21, 2023

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initial commit

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O.S commited on Sep 21, 2023

Commit History

Delete readme.md e248afd

Create README.md 6e51729

Create readme.md 0a87f7b

Upload tokenizer f75abea

Upload GPTNeoXForCausalLM 8bc567b

initial commit 54b2528

Delete readme.md

e248afd

Create README.md

6e51729

Create readme.md

0a87f7b

Upload tokenizer

f75abea

Upload GPTNeoXForCausalLM

8bc567b

initial commit

54b2528