Instructions to use egonzalez/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use egonzalez/model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="egonzalez/model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("egonzalez/model") model = AutoModelWithLMHead.from_pretrained("egonzalez/model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use egonzalez/model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "egonzalez/model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "egonzalez/model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/egonzalez/model
- SGLang
How to use egonzalez/model 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 "egonzalez/model" \ --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": "egonzalez/model", "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 "egonzalez/model" \ --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": "egonzalez/model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use egonzalez/model with Docker Model Runner:
docker model run hf.co/egonzalez/model
Download tf_model.h5 from egonzalez/model: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/egonzalez/model/resolve/main/tf_model.h5
- Command line
-
hf download hf://egonzalez/model/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/egonzalez/model/resolve/main/tf_model.h5
892 MB
- Xet hash:
- 38a2952820b3ec3ed1d4786a38f1008d65c0e0f6d5e4c73eb8812b14f0f279d1
- Size of remote file:
- 892 MB
- SHA256:
- 4e128408c6356d7b6fced323d4b04ab559d9e7ceb7dee5318584c56147b3c69e
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