Instructions to use DavidSeyserHF/rex1-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidSeyserHF/rex1-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="DavidSeyserHF/rex1-base", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DavidSeyserHF/rex1-base", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use DavidSeyserHF/rex1-base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "DavidSeyserHF/rex1-base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "DavidSeyserHF/rex1-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/DavidSeyserHF/rex1-base
- SGLang
How to use DavidSeyserHF/rex1-base 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 "DavidSeyserHF/rex1-base" \ --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": "DavidSeyserHF/rex1-base", "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 "DavidSeyserHF/rex1-base" \ --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": "DavidSeyserHF/rex1-base", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use DavidSeyserHF/rex1-base with Docker Model Runner:
docker model run hf.co/DavidSeyserHF/rex1-base
File size: 561 Bytes
a61b335 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"architectures": [
"RexForCausalLM"
],
"auto_map": {
"AutoConfig": "configuration_rex.RexConfig",
"AutoModelForCausalLM": "modeling_rex.RexForCausalLM"
},
"d_model": 1536,
"dropout": 0.0,
"ffn_dim": 3968,
"initializer_range": 0.02,
"max_seq_len": 1024,
"model_type": "rex",
"n_heads": 16,
"n_layers": 8,
"norm_eps": 1e-05,
"recurrence_steps": 4,
"tie_embeddings": true,
"tokenizer_name": "gpt2",
"torch_dtype": "float32",
"transformers_version": "4.55.0",
"use_step_embeddings": true,
"vocab_size": 50257
}
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