Instructions to use Padlex/gpt2-math_64_32768_complete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Padlex/gpt2-math_64_32768_complete with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Padlex/gpt2-math_64_32768_complete")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Padlex/gpt2-math_64_32768_complete") model = AutoModelForCausalLM.from_pretrained("Padlex/gpt2-math_64_32768_complete", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Padlex/gpt2-math_64_32768_complete with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Padlex/gpt2-math_64_32768_complete" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Padlex/gpt2-math_64_32768_complete", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Padlex/gpt2-math_64_32768_complete
- SGLang
How to use Padlex/gpt2-math_64_32768_complete 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 "Padlex/gpt2-math_64_32768_complete" \ --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": "Padlex/gpt2-math_64_32768_complete", "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 "Padlex/gpt2-math_64_32768_complete" \ --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": "Padlex/gpt2-math_64_32768_complete", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Padlex/gpt2-math_64_32768_complete with Docker Model Runner:
docker model run hf.co/Padlex/gpt2-math_64_32768_complete
Download tokenizer.json from Padlex/gpt2-math_64_32768_complete: direct link, hf CLI and curl.
- Browser
- Download file 3.69 kB
-
https://huggingface.co/Padlex/gpt2-math_64_32768_complete/resolve/main/tokenizer.json
- Command line
-
hf download hf://Padlex/gpt2-math_64_32768_complete/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Padlex/gpt2-math_64_32768_complete/resolve/main/tokenizer.json
3.69 kB
| { | |
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| "added_tokens": [ | |
| { | |
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| "content": "[BOS]", | |
| "single_word": false, | |
| "lstrip": false, | |
| "rstrip": false, | |
| "normalized": false, | |
| "special": true | |
| }, | |
| { | |
| "id": 104, | |
| "content": "[EOS]", | |
| "single_word": false, | |
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| "special": true | |
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| "content": "[PAD]", | |
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| "pre_tokenizer": { | |
| "type": "Whitespace" | |
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| "post_processor": { | |
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| "SpecialToken": { | |
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| "type_id": 1 | |
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| "SpecialToken": { | |
| "id": "[EOS]", | |
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| "special_tokens": { | |
| "[BOS]": { | |
| "id": "[BOS]", | |
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| "tokens": [ | |
| "[BOS]" | |
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| "[EOS]": { | |
| "id": "[EOS]", | |
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| 104 | |
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| "[EOS]" | |
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| "unk_token": "[UNK]" | |
| } | |
| } |