Instructions to use fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python with Transformers:

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

pipe = pipeline("text-generation", model="fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python")
model = AutoModelForCausalLM.from_pretrained("fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python

SGLang

How to use fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python 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 "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python" \
    --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": "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python",
		"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 "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python" \
        --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": "fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python with Docker Model Runner:
```
docker model run hf.co/fdsffjdkf/ClearTrans-3B-SFT-Go-to-Python
```

ClearTrans-3B-SFT-Go-to-Python / release_metadata.json

fdsffjdkf

Release direction-specific Qwen2.5-Coder-3B SFT checkpoint

88984da verified 7 days ago

Raw History Blame Contribute Delete

434 Bytes

{
  "base_model": "Qwen/Qwen2.5-Coder-3B",
  "training_stage": "sft",
  "source_language": "Go",
  "target_language": "Python",
  "code_repository": "https://github.com/Xingzhehu/ClearTrans",
  "tensor_bytes": 6794207232,
  "checks": [
    "tensor byte lengths",
    "tensor layout",
    "index tensor names",
    "index total size"
  ],
  "runtime_inference_validated": false,
  "benchmark_results_assigned": false
}

	{
	"base_model": "Qwen/Qwen2.5-Coder-3B",
	"training_stage": "sft",
	"source_language": "Go",
	"target_language": "Python",
	"code_repository": "https://github.com/Xingzhehu/ClearTrans",
	"tensor_bytes": 6794207232,
	"checks": [
	"tensor byte lengths",
	"tensor layout",
	"index tensor names",
	"index total size"
	],
	"runtime_inference_validated": false,
	"benchmark_results_assigned": false
	}