Instructions to use adept/fuyu-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adept/fuyu-8b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="adept/fuyu-8b")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("adept/fuyu-8b") model = AutoModelForImageTextToText.from_pretrained("adept/fuyu-8b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use adept/fuyu-8b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "adept/fuyu-8b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "adept/fuyu-8b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/adept/fuyu-8b
- SGLang
How to use adept/fuyu-8b 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 "adept/fuyu-8b" \ --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": "adept/fuyu-8b", "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 "adept/fuyu-8b" \ --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": "adept/fuyu-8b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use adept/fuyu-8b with Docker Model Runner:
docker model run hf.co/adept/fuyu-8b
Anyone else having trouble loading the model?
#7
by darknoon - opened
Using more or less this code (transformers@caa0ff0bf104ee68ea46432b298a534e9a4a02a4):
from transformers import FuyuForCausalLM, AutoTokenizer
…
FuyuForCausalLM.from_pretrained("adept/fuyu-8b")
The checkpoint seems to download ok, but doesn't load:
Some weights of FuyuForCausalLM were not initialized from the model checkpoint at adept/fuyu-8b and are newly initialized: ['language_model.model.layers.27.self_attn.query_key_value.bias', 'language_model.model.layers.20.input_layernorm.weight', 'language_model.model.layers.10.self_attn.k_layernorm.weight', 'language_model.model.layers.21.mlp.dense_h_to_4h.weight', 'language_model.model.layers.3.input_layernorm.weight', 'language_model.model.layers.6.self_attn.dense.bias', 'language_model.model.layers.2.self_attn.query_key_value.weight', 'language_model.model.layers.11.self_attn.query_key_value.weight', 'language_model.model.layers.30.input_layernorm.weight', 'language_model.model.layers.22.mlp.dense_4h_to_h.bias', 'language_model.model.layers.16.post_attention_layernorm.bias'…
The PR has been merged and the weights updated in the repo, so you should be able to load the model using transformers @ main.
darknoon changed discussion status to closed