Instructions to use arithmetic-circuit-overloading/gpt2-64D-2L-4H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use arithmetic-circuit-overloading/gpt2-64D-2L-4H with Transformers:

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

pipe = pipeline("text-generation", model="arithmetic-circuit-overloading/gpt2-64D-2L-4H")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("arithmetic-circuit-overloading/gpt2-64D-2L-4H")
model = AutoModelForCausalLM.from_pretrained("arithmetic-circuit-overloading/gpt2-64D-2L-4H")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use arithmetic-circuit-overloading/gpt2-64D-2L-4H with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "arithmetic-circuit-overloading/gpt2-64D-2L-4H"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "arithmetic-circuit-overloading/gpt2-64D-2L-4H",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/arithmetic-circuit-overloading/gpt2-64D-2L-4H

SGLang

How to use arithmetic-circuit-overloading/gpt2-64D-2L-4H 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 "arithmetic-circuit-overloading/gpt2-64D-2L-4H" \
    --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": "arithmetic-circuit-overloading/gpt2-64D-2L-4H",
		"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 "arithmetic-circuit-overloading/gpt2-64D-2L-4H" \
        --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": "arithmetic-circuit-overloading/gpt2-64D-2L-4H",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use arithmetic-circuit-overloading/gpt2-64D-2L-4H with Docker Model Runner:
```
docker model run hf.co/arithmetic-circuit-overloading/gpt2-64D-2L-4H
```

gpt2-64D-2L-4H / tokenizer.json

aditeyabaral

Training in progress, epoch 1

1c788d6 verified 16 days ago

Raw

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1.96 kB

	{
	"version": "1.0",
	"truncation": null,
	"padding": {
	"strategy": "BatchLongest",
	"direction": "Left",
	"pad_to_multiple_of": null,
	"pad_id": 0,
	"pad_type_id": 0,
	"pad_token": "<pad>"
	},
	"added_tokens": [
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	"id": 0,
	"content": "<pad>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
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	{
	"id": 1,
	"content": "<bos>",
	"single_word": false,
	"lstrip": false,
	"rstrip": false,
	"normalized": false,
	"special": true
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	{
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	"content": "<eos>",
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	"lstrip": false,
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	{
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	"normalizer": null,
	"pre_tokenizer": {
	"type": "Split",
	"pattern": {
	"Regex": "[\\s\\S]"
	},
	"behavior": "Isolated",
	"invert": false
	},
	"post_processor": {
	"type": "TemplateProcessing",
	"single": [
	{
	"Sequence": {
	"id": "A",
	"type_id": 0
	}
	}
	],
	"pair": [
	{
	"Sequence": {
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	"type_id": 0
	}
	},
	{
	"Sequence": {
	"id": "B",
	"type_id": 1
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	}
	],
	"special_tokens": {}
	},
	"decoder": {
	"type": "Fuse"
	},
	"model": {
	"type": "WordLevel",
	"vocab": {
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	"6": 15,
	"7": 16,
	"8": 17,
	"9": 18,
	"=": 19
	},
	"unk_token": "<unk>"
	}
	}