Instructions to use LukeBailey181Pub/dspv2_guide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use LukeBailey181Pub/dspv2_guide with Transformers:

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

pipe = pipeline("text-generation", model="LukeBailey181Pub/dspv2_guide")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("LukeBailey181Pub/dspv2_guide")
model = AutoModelForMultimodalLM.from_pretrained("LukeBailey181Pub/dspv2_guide")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use LukeBailey181Pub/dspv2_guide with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "LukeBailey181Pub/dspv2_guide"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LukeBailey181Pub/dspv2_guide",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/LukeBailey181Pub/dspv2_guide

SGLang

How to use LukeBailey181Pub/dspv2_guide 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 "LukeBailey181Pub/dspv2_guide" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LukeBailey181Pub/dspv2_guide",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "LukeBailey181Pub/dspv2_guide" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "LukeBailey181Pub/dspv2_guide",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use LukeBailey181Pub/dspv2_guide with Docker Model Runner:
```
docker model run hf.co/LukeBailey181Pub/dspv2_guide
```

dspv2_guide / tokenizer_config.json

LukeBailey181Pub

Upload tokenizer

b8bd7a1 verified about 2 months ago

raw

history blame contribute delete

4.01 kB

	{
	"add_bos_token": true,
	"add_eos_token": false,
	"add_prefix_space": null,
	"added_tokens_decoder": {
	"100000": {
	"content": "<｜begin▁of▁sentence｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"100001": {
	"content": "<｜end▁of▁sentence｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"100002": {
	"content": "<｜fim▁hole｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100003": {
	"content": "<｜fim▁begin｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100004": {
	"content": "<｜fim▁end｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100005": {
	"content": "<｜completion｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100006": {
	"content": "<｜User｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100007": {
	"content": "<｜Assistant｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100008": {
	"content": "<\|EOT\|>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": true
	},
	"100009": {
	"content": "<｜tool▁calls▁begin｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100010": {
	"content": "<｜tool▁calls▁end｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100011": {
	"content": "<｜tool▁call▁begin｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100012": {
	"content": "<｜tool▁call▁end｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100013": {
	"content": "<｜tool▁outputs▁begin｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100014": {
	"content": "<｜tool▁outputs▁end｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100015": {
	"content": "<｜tool▁output▁begin｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100016": {
	"content": "<｜tool▁output▁end｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	},
	"100017": {
	"content": "<｜tool▁sep｜>",
	"lstrip": false,
	"normalized": true,
	"rstrip": false,
	"single_word": false,
	"special": false
	}
	},
	"bos_token": "<｜begin▁of▁sentence｜>",
	"clean_up_tokenization_spaces": false,
	"eos_token": "<｜end▁of▁sentence｜>",
	"extra_special_tokens": {},
	"legacy": true,
	"max_length": 8192,
	"model_max_length": 131072,
	"pad_token": "<｜end▁of▁sentence｜>",
	"sp_model_kwargs": {},
	"stride": 0,
	"tokenizer_class": "LlamaTokenizerFast",
	"truncation_side": "right",
	"truncation_strategy": "longest_first",
	"unk_token": null,
	"use_default_system_prompt": false
	}