Instructions to use HooshvareLab/gpt2-fa-comment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HooshvareLab/gpt2-fa-comment with Transformers:

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

pipe = pipeline("text-generation", model="HooshvareLab/gpt2-fa-comment")

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

tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/gpt2-fa-comment")
model = AutoModelForCausalLM.from_pretrained("HooshvareLab/gpt2-fa-comment", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use HooshvareLab/gpt2-fa-comment with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HooshvareLab/gpt2-fa-comment"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HooshvareLab/gpt2-fa-comment",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HooshvareLab/gpt2-fa-comment

SGLang

How to use HooshvareLab/gpt2-fa-comment 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 "HooshvareLab/gpt2-fa-comment" \
    --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": "HooshvareLab/gpt2-fa-comment",
		"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 "HooshvareLab/gpt2-fa-comment" \
        --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": "HooshvareLab/gpt2-fa-comment",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HooshvareLab/gpt2-fa-comment with Docker Model Runner:
```
docker model run hf.co/HooshvareLab/gpt2-fa-comment
```

gpt2-fa-comment

Commit History

Mar 18, 2023

14:19
Adding `safetensors` variant of this model⁠

SFconvertbot

29f7b6e

May 21, 2021

10:47
upload flax model

patrickvonplaten

a11c340
10:47
allow flax

patrickvonplaten

80a5d37

Feb 16, 2021

14:14
full-text config fixed

m3hrdadfi

8ac2cb3
14:11
full text fixed

m3hrdadfi

36ecd30
14:10
removing cnt fixed

m3hrdadfi

bbe6876
13:50
Config fixed

m3hrdadfi

a2063a4
13:49
Initialized

m3hrdadfi

03dd1d9
13:37
initial commit

system HF Staff

5a3bd7e

Commit History

Mar 18, 2023

Adding `safetensors` variant of this model⁠

May 21, 2021

upload flax model

allow flax

Feb 16, 2021

full-text config fixed

full text fixed

removing cnt fixed

Config fixed

Initialized

initial commit