Instructions to use Nanthasit/sakthai-coder-browser with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nanthasit/sakthai-coder-browser with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Nanthasit/sakthai-coder-browser")
model = AutoModelForCausalLM.from_pretrained("Nanthasit/sakthai-coder-browser", 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 Nanthasit/sakthai-coder-browser with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Nanthasit/sakthai-coder-browser

SGLang

How to use Nanthasit/sakthai-coder-browser 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 "Nanthasit/sakthai-coder-browser" \
    --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": "Nanthasit/sakthai-coder-browser",
		"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 "Nanthasit/sakthai-coder-browser" \
        --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": "Nanthasit/sakthai-coder-browser",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Nanthasit/sakthai-coder-browser with Docker Model Runner:
```
docker model run hf.co/Nanthasit/sakthai-coder-browser
```

Nanthasit commited on 15 days ago

Commit

a8fa4e3

verified ·

1 Parent(s): eeb26d1

Add metadata eval result

Browse files

Files changed (1) hide show

.eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml +30 -0

.eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml ADDED Viewed

	@@ -0,0 +1,30 @@

+evaluations:
+- task: Browser Tool Calling
+  dataset: metadata snapshot
+  metrics:
+  - name: tool_call_rate
+    value: 0
+    verified: false
+  - name: valid_json_rate
+    value: 0
+    verified: false
+  source: model-card model-index
+meta:
+  model_id: Nanthasit/sakthai-coder-browser
+  pipeline_tag: text-generation
+  base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
+  license: apache-2.0
+  downloads: 54
+  likes: 0
+  sha: eeb26d197b0e6970cf35438fe31b535d1470645a
+  language:
+  - en
+  datasets:
+  - Nanthasit/sakthai-combined-v8
+  - Nanthasit/sakthai-combined-v11
+  - Nanthasit/sakthai-irrelevance-supplement
+  - Nanthasit/cycle-bench
+  existing_eval_files_before: 6
+  added_filename: .eval_results/cron-eval-sakthai-coder-browser-20260801T051205Z.yaml
+  cron_timestamp: '2026-08-01T05:12:05.417687+00:00'
+  result_type: metadata