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

Libraries

How to use uripper/AVA with Transformers:

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

pipe = pipeline("text-generation", model="uripper/AVA")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("uripper/AVA")
model = AutoModelForCausalLM.from_pretrained("uripper/AVA")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use uripper/AVA with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/uripper/AVA

SGLang

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

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

AVA / .gitattributes

Commit History

Adding `safetensors` variant of this model (#1)

15a3670

uripper

SFconvertbot commited on Jul 13, 2023

completed training

8fd5d98

Kevin Ripper commited on Aug 27, 2022

add tokenizer

35bab69

Kevin Ripper commited on Aug 22, 2022

initial commit

dbc87cf

Kevin Ripper commited on Aug 22, 2022

Commit History

Adding `safetensors` variant of this model (#1) 15a3670

completed training 8fd5d98

add tokenizer 35bab69

initial commit dbc87cf

Adding `safetensors` variant of this model (#1)

15a3670

completed training

8fd5d98

add tokenizer

35bab69

initial commit

dbc87cf