Instructions to use hf-internal-testing/tiny-random-FuyuForCausalLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FuyuForCausalLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="hf-internal-testing/tiny-random-FuyuForCausalLM")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-FuyuForCausalLM") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-FuyuForCausalLM") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use hf-internal-testing/tiny-random-FuyuForCausalLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "hf-internal-testing/tiny-random-FuyuForCausalLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "hf-internal-testing/tiny-random-FuyuForCausalLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/hf-internal-testing/tiny-random-FuyuForCausalLM
- SGLang
How to use hf-internal-testing/tiny-random-FuyuForCausalLM 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 "hf-internal-testing/tiny-random-FuyuForCausalLM" \ --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": "hf-internal-testing/tiny-random-FuyuForCausalLM", "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 "hf-internal-testing/tiny-random-FuyuForCausalLM" \ --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": "hf-internal-testing/tiny-random-FuyuForCausalLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use hf-internal-testing/tiny-random-FuyuForCausalLM with Docker Model Runner:
docker model run hf.co/hf-internal-testing/tiny-random-FuyuForCausalLM
| { | |
| "architectures": [ | |
| "FuyuForCausalLM" | |
| ], | |
| "attention_dropout": 0.0, | |
| "attention_probs_dropout_prob": 0.1, | |
| "bos_token_id": 71013, | |
| "eos_token_id": 71013, | |
| "hidden_act": "gelu", | |
| "hidden_dropout": 0.0, | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 32, | |
| "image_size": 300, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 37, | |
| "is_decoder": true, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 512, | |
| "model_type": "fuyu", | |
| "num_attention_heads": 4, | |
| "num_channels": 3, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 0, | |
| "partial_rotary_factor": 0.5, | |
| "patch_size": 30, | |
| "qk_layernorm": true, | |
| "rope_scaling": null, | |
| "rope_theta": 25000.0, | |
| "text_config": { | |
| "bos_token_id": 71013, | |
| "eos_token_id": 71013, | |
| "hidden_act": "gelu", | |
| "hidden_size": 32, | |
| "intermediate_size": 37, | |
| "max_position_embeddings": 512, | |
| "model_type": "persimmon", | |
| "num_attention_heads": 4, | |
| "num_hidden_layers": 2, | |
| "pad_token_id": 0 | |
| }, | |
| "tie_word_embeddings": false, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.36.0.dev0", | |
| "type_vocab_size": 16, | |
| "use_cache": true, | |
| "vocab_size": 262144 | |
| } | |