Instructions to use imthanhlv/gpt2news with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imthanhlv/gpt2news with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="imthanhlv/gpt2news")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("imthanhlv/gpt2news") model = AutoModelForCausalLM.from_pretrained("imthanhlv/gpt2news", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use imthanhlv/gpt2news with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "imthanhlv/gpt2news" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "imthanhlv/gpt2news", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/imthanhlv/gpt2news
- SGLang
How to use imthanhlv/gpt2news 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 "imthanhlv/gpt2news" \ --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": "imthanhlv/gpt2news", "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 "imthanhlv/gpt2news" \ --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": "imthanhlv/gpt2news", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use imthanhlv/gpt2news with Docker Model Runner:
docker model run hf.co/imthanhlv/gpt2news
Download flax_model.msgpack from imthanhlv/gpt2news: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/imthanhlv/gpt2news/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://imthanhlv/gpt2news/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/imthanhlv/gpt2news/resolve/main/flax_model.msgpack
498 MB
- Xet hash:
- 5fbe403b3175eb9c9285dcd0586b4f307778bd3a2c47a24b305457549e3313d4
- Size of remote file:
- 498 MB
- SHA256:
- 19d7fd10a874717e2f34777e37576b9e0e675f19fc1ee46c147ab3a7928b94c4
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