Text Generation
Transformers
PyTorch
ONNX
Safetensors
gpt2
text generation
emailgen
email generation
email
text-generation-inference
Instructions to use postbot/gpt2-medium-emailgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use postbot/gpt2-medium-emailgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="postbot/gpt2-medium-emailgen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("postbot/gpt2-medium-emailgen") model = AutoModelForCausalLM.from_pretrained("postbot/gpt2-medium-emailgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use postbot/gpt2-medium-emailgen with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "postbot/gpt2-medium-emailgen" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "postbot/gpt2-medium-emailgen", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/postbot/gpt2-medium-emailgen
- SGLang
How to use postbot/gpt2-medium-emailgen 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 "postbot/gpt2-medium-emailgen" \ --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": "postbot/gpt2-medium-emailgen", "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 "postbot/gpt2-medium-emailgen" \ --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": "postbot/gpt2-medium-emailgen", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use postbot/gpt2-medium-emailgen with Docker Model Runner:
docker model run hf.co/postbot/gpt2-medium-emailgen
Commit History
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Librarian Bot: Add base_model information to model
This pull request aims to enrich the metadata of your model by adding [`gpt2-medium`](https://huggingface.co/gpt2-medium) as a `base_model` field, situated in the `YAML` block of your model's `README.md`. How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection. **Why add this?** Enhancing your model's metadata in this way: - **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub. - **Highlights Impact** - It showcases the contributions and influences different models have within the community. For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer). This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance…f5c0467
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (33497ed31f39b55992e9fa2a64bb14047f9599fd) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>1b9b03d
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Adding `safetensors` variant of this model (#3)
- Adding `safetensors` variant of this model (73add2a9421e577afcce47025df465f7be866a6a) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>084b7b0
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Adding ONNX file of this model (#1)
- Adding ONNX file of this model (bf17ff0086b53162304708cedd72bd8baf75d5f8)8ccd86c
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Update README.md
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update license to reasonable
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add colab demo
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add python code as example
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describe license
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adding model files
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