Instructions to use saracandu/stldec_random_1024_pca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use saracandu/stldec_random_1024_pca with Transformers:

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

pipe = pipeline("text-generation", model="saracandu/stldec_random_1024_pca", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("saracandu/stldec_random_1024_pca", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use saracandu/stldec_random_1024_pca with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "saracandu/stldec_random_1024_pca"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "saracandu/stldec_random_1024_pca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/saracandu/stldec_random_1024_pca

SGLang

How to use saracandu/stldec_random_1024_pca 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 "saracandu/stldec_random_1024_pca" \
    --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": "saracandu/stldec_random_1024_pca",
		"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 "saracandu/stldec_random_1024_pca" \
        --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": "saracandu/stldec_random_1024_pca",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use saracandu/stldec_random_1024_pca with Docker Model Runner:
```
docker model run hf.co/saracandu/stldec_random_1024_pca
```

saracandu commited on Sep 29, 2025

Commit

68955da

verified ·

1 Parent(s): f8515bb

Upload tokenizer

Browse files

Files changed (3) hide show

special_tokens_map.json +6 -0
tokenizer_config.json +44 -0
vocab.json +37 -0

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "bos_token": "/s",
+  "eos_token": "s",
+  "pad_token": "pad",
+  "unk_token": "unk"
+}

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,44 @@

+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "unk",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "pad",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "/s",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "s",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "/s",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "s",
+  "extra_special_tokens": {},
+  "model_max_length": 512,
+  "pad_token": "pad",
+  "tokenizer_class": "STLTokenizer",
+  "unk_token": "unk"
+}

vocab.json ADDED Viewed

	@@ -0,0 +1,37 @@

+{
+  "unk": 0,
+  "pad": 1,
+  "/s": 2,
+  "s": 3,
+  "(": 4,
+  ")": 5,
+  "always": 6,
+  "eventually": 7,
+  "until": 8,
+  "and": 9,
+  "or": 10,
+  "not": 11,
+  ">=": 12,
+  "<=": 13,
+  ">": 14,
+  "<": 15,
+  "=": 16,
+  "x_": 17,
+  "[": 18,
+  "]": 19,
+  ",": 20,
+  "inf": 21,
+  "-": 22,
+  ".": 23,
+  "0": 24,
+  "1": 25,
+  "2": 26,
+  "3": 27,
+  "4": 28,
+  "5": 29,
+  "6": 30,
+  "7": 31,
+  "8": 32,
+  "9": 33,
+  "@": 34
+}