Instructions to use vanbach1994hn/HH3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use vanbach1994hn/HH3D with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("pnnbao-ump/VieNeu-TTS-0.3B")
model = PeftModel.from_pretrained(base_model, "vanbach1994hn/HH3D")

Transformers

How to use vanbach1994hn/HH3D with Transformers:

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

pipe = pipeline("text-generation", model="vanbach1994hn/HH3D")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("vanbach1994hn/HH3D", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use vanbach1994hn/HH3D with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "vanbach1994hn/HH3D"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "vanbach1994hn/HH3D",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/vanbach1994hn/HH3D

SGLang

How to use vanbach1994hn/HH3D 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 "vanbach1994hn/HH3D" \
    --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": "vanbach1994hn/HH3D",
		"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 "vanbach1994hn/HH3D" \
        --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": "vanbach1994hn/HH3D",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use vanbach1994hn/HH3D with Docker Model Runner:
```
docker model run hf.co/vanbach1994hn/HH3D
```

vanbach1994hn commited on Jun 19

Commit

cdfcaff

verified ·

1 Parent(s): afeaf61

Delete generation_config.json

Browse files

Files changed (1) hide show

generation_config.json +0 -11

generation_config.json DELETED Viewed

@@ -1,11 +0,0 @@
-{
-  "do_sample": true,
-  "eos_token_id": [
-    375
-  ],
-  "pad_token_id": 375,
-  "temperature": 0.7,
-  "top_k": 20,
-  "top_p": 0.8,
-  "transformers_version": "5.10.2"
-}