Instructions to use AhmedTaha012/GPT-TextToArxmlParameters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AhmedTaha012/GPT-TextToArxmlParameters with Transformers:

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

pipe = pipeline("text-generation", model="AhmedTaha012/GPT-TextToArxmlParameters")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AhmedTaha012/GPT-TextToArxmlParameters")
model = AutoModelForCausalLM.from_pretrained("AhmedTaha012/GPT-TextToArxmlParameters")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use AhmedTaha012/GPT-TextToArxmlParameters with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AhmedTaha012/GPT-TextToArxmlParameters"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AhmedTaha012/GPT-TextToArxmlParameters",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/AhmedTaha012/GPT-TextToArxmlParameters

SGLang

How to use AhmedTaha012/GPT-TextToArxmlParameters 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 "AhmedTaha012/GPT-TextToArxmlParameters" \
    --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": "AhmedTaha012/GPT-TextToArxmlParameters",
		"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 "AhmedTaha012/GPT-TextToArxmlParameters" \
        --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": "AhmedTaha012/GPT-TextToArxmlParameters",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use AhmedTaha012/GPT-TextToArxmlParameters with Docker Model Runner:
```
docker model run hf.co/AhmedTaha012/GPT-TextToArxmlParameters
```

AhmedTaha012 commited on Mar 12, 2023

Commit

7c1db03

1 Parent(s): 08ea94f

Upload . with huggingface_hub

Browse files

Files changed (2) hide show

config.json +1 -1
pytorch_model.bin +1 -1

config.json CHANGED Viewed

@@ -36,7 +36,7 @@
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   "intermediate_size": null,
   "layer_norm_epsilon": 1e-05,
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   "max_position_embeddings": 2048,
   "model_type": "gpt_neo",
   "num_heads": 12,

   "initializer_range": 0.02,
   "intermediate_size": null,
   "layer_norm_epsilon": 1e-05,
+  "line_by_line": false,
   "max_position_embeddings": 2048,
   "model_type": "gpt_neo",
   "num_heads": 12,

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