Instructions to use underwater45/Oracle-Prototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use underwater45/Oracle-Prototype with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="underwater45/Oracle-Prototype")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("underwater45/Oracle-Prototype", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use underwater45/Oracle-Prototype with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "underwater45/Oracle-Prototype" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "underwater45/Oracle-Prototype", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/underwater45/Oracle-Prototype
- SGLang
How to use underwater45/Oracle-Prototype 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 "underwater45/Oracle-Prototype" \ --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": "underwater45/Oracle-Prototype", "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 "underwater45/Oracle-Prototype" \ --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": "underwater45/Oracle-Prototype", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use underwater45/Oracle-Prototype with Docker Model Runner:
docker model run hf.co/underwater45/Oracle-Prototype
File size: 683 Bytes
497c4d6 | 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 27 28 29 | {
"model_type": "oracle",
"architectures": [
"OracleModel"
],
"hidden_size": 768,
"num_hidden_layers": 1,
"num_attention_heads": 12,
"intermediate_size": 3072,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"attention_probs_dropout_prob": 0.1,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"initializer_range": 0.02,
"layer_norm_eps": 1e-12,
"pad_token_id": 0,
"bos_token_id": 101,
"eos_token_id": 102,
"position_embedding_type": "absolute",
"use_cache": true,
"classifier_dropout": null,
"sub_models": [
"bert-base-uncased",
"roberta-base",
"distilbert-base-uncased"
],
"tokenizer_name": "bert-base-uncased"
} |