Instructions to use katuni4ka/tiny-random-xverse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use katuni4ka/tiny-random-xverse with Transformers:

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

pipe = pipeline("text-generation", model="katuni4ka/tiny-random-xverse", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("katuni4ka/tiny-random-xverse", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use katuni4ka/tiny-random-xverse with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "katuni4ka/tiny-random-xverse"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "katuni4ka/tiny-random-xverse",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/katuni4ka/tiny-random-xverse

SGLang

How to use katuni4ka/tiny-random-xverse 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 "katuni4ka/tiny-random-xverse" \
    --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": "katuni4ka/tiny-random-xverse",
		"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 "katuni4ka/tiny-random-xverse" \
        --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": "katuni4ka/tiny-random-xverse",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use katuni4ka/tiny-random-xverse with Docker Model Runner:
```
docker model run hf.co/katuni4ka/tiny-random-xverse
```

katuni4ka commited on May 16, 2024

Commit

e1526ed

verified ·

1 Parent(s): 918537f

Upload tokenizer.json

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Files changed (1) hide show

tokenizer.json +0 -10

tokenizer.json CHANGED Viewed

@@ -61,11 +61,6 @@
   "pre_tokenizer": {
     "type": "Sequence",
     "pretokenizers": [
-      {
-        "type": "Metaspace",
-        "replacement": "▁",
-        "add_prefix_space": false
-      },
       {
         "type": "Digits",
         "individual_digits": true
@@ -80,11 +75,6 @@
   "decoder": {
     "type": "Sequence",
     "decoders": [
-      {
-        "type": "Metaspace",
-        "replacement": "▁",
-        "add_prefix_space": false
-      },
       {
         "type": "ByteFallback"
       }

   "pre_tokenizer": {
     "type": "Sequence",
     "pretokenizers": [
       {
         "type": "Digits",
         "individual_digits": true
   "decoder": {
     "type": "Sequence",
     "decoders": [
       {
         "type": "ByteFallback"
       }