Instructions to use JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4 with Transformers:

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

pipe = pipeline("text-generation", model="JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4")
model = AutoModelForCausalLM.from_pretrained("JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4", device_map="auto")
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 JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4

SGLang

How to use JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4 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 "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4" \
    --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": "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4",
		"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 "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4" \
        --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": "JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4 with Docker Model Runner:
```
docker model run hf.co/JoshMe1/11ab9819-b1e0-442b-b8e4-964312311ca4
```

JoshMe1 commited on May 14, 2025

Commit

87c7287

verified ·

1 Parent(s): 10b8295

Training in progress, step 1000

Browse files

Files changed (2) hide show

adapter_model.safetensors +1 -1
runs/May14_23-14-09_373b226a901d/events.out.tfevents.1747264471.373b226a901d.134.0 +2 -2

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc388cd49ae9782945b985af61ba1c98bb80164242320e8efe81a46a64f6e089
 size 1342238560

 version https://git-lfs.github.com/spec/v1
+oid sha256:7751925589a372d9a9c8baeb46b55a66bde1d5ffcd0dd8e342031c84af253769
 size 1342238560

runs/May14_23-14-09_373b226a901d/events.out.tfevents.1747264471.373b226a901d.134.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:17d0121aadb06b8807925ebe362b43b3eb5d6126c53ee674159944f55c9d9fa3
-size 487759

 version https://git-lfs.github.com/spec/v1
+oid sha256:a870a39a2a733e8a1c4670d96ba8b992fd6813e9720bd2a547f5d2049d91ba47
+size 693825