Instructions to use mrcha033/YunMin-tokenizer-96k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mrcha033/YunMin-tokenizer-96k with Transformers:

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

pipe = pipeline("text-generation", model="mrcha033/YunMin-tokenizer-96k")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mrcha033/YunMin-tokenizer-96k", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mrcha033/YunMin-tokenizer-96k with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "mrcha033/YunMin-tokenizer-96k"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "mrcha033/YunMin-tokenizer-96k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/mrcha033/YunMin-tokenizer-96k

SGLang

How to use mrcha033/YunMin-tokenizer-96k 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 "mrcha033/YunMin-tokenizer-96k" \
    --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": "mrcha033/YunMin-tokenizer-96k",
		"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 "mrcha033/YunMin-tokenizer-96k" \
        --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": "mrcha033/YunMin-tokenizer-96k",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mrcha033/YunMin-tokenizer-96k with Docker Model Runner:
```
docker model run hf.co/mrcha033/YunMin-tokenizer-96k
```

YunMin-tokenizer-96k / tokenizer.json

mrcha033

Upload folder using huggingface_hub

0897d9e verified over 1 year ago

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1.06 kB

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  "version": "1.0",
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  "added_tokens": [
    {
      "id": 0,
      "content": "<unk>",
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      "special": true
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  "normalizer": null,
  "pre_tokenizer": {
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  "model": {
    "type": "Unigram",
    "unk_id": 0,
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      ]
    ],
    "byte_fallback": false
  }
}

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