Instructions to use trawzified/khajiit-speak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trawzified/khajiit-speak with Transformers:

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

pipe = pipeline("text-generation", model="trawzified/khajiit-speak")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("trawzified/khajiit-speak")
model = AutoModelForSeq2SeqLM.from_pretrained("trawzified/khajiit-speak")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use trawzified/khajiit-speak with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/trawzified/khajiit-speak

SGLang

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

Docker Model Runner
How to use trawzified/khajiit-speak with Docker Model Runner:
```
docker model run hf.co/trawzified/khajiit-speak
```

khajiit-speak

Commit History

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

00da8ef

trawzified

SFconvertbot commited on Jul 17, 2023

Update README.md

81aac2f

trawzified commited on Jul 17, 2023

Upload model

03250b8

trawzified commited on Jul 17, 2023

initial commit

450d5c8

trawzified commited on Jul 17, 2023

Commit History

Adding `safetensors` variant of this model (#1) 00da8ef

Update README.md 81aac2f

Upload model 03250b8

initial commit 450d5c8

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

00da8ef

Update README.md

81aac2f

Upload model

03250b8

initial commit

450d5c8