Instructions to use architext/gptj-162M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use architext/gptj-162M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="architext/gptj-162M")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("architext/gptj-162M") model = AutoModelForCausalLM.from_pretrained("architext/gptj-162M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use architext/gptj-162M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "architext/gptj-162M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "architext/gptj-162M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/architext/gptj-162M
- SGLang
How to use architext/gptj-162M 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 "architext/gptj-162M" \ --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": "architext/gptj-162M", "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 "architext/gptj-162M" \ --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": "architext/gptj-162M", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use architext/gptj-162M with Docker Model Runner:
docker model run hf.co/architext/gptj-162M
Update config.json
Browse files- config.json +3 -8
config.json
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"text-generation": {
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"do_sample": true,
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"temperature": 1.0,
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"max_length": 50
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}
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},
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"tie_word_embeddings": false,
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50400
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}
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.22.2",
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"use_cache": true,
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"vocab_size": 50400
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}
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