Instructions to use circulus/vit-bart-caption-en-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use circulus/vit-bart-caption-en-v1 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-text-to-text", model="circulus/vit-bart-caption-en-v1")

# Load model directly
from transformers import AutoTokenizer, AutoModelForImageTextToText

tokenizer = AutoTokenizer.from_pretrained("circulus/vit-bart-caption-en-v1")
model = AutoModelForImageTextToText.from_pretrained("circulus/vit-bart-caption-en-v1")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use circulus/vit-bart-caption-en-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "circulus/vit-bart-caption-en-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "circulus/vit-bart-caption-en-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/circulus/vit-bart-caption-en-v1

SGLang

How to use circulus/vit-bart-caption-en-v1 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 "circulus/vit-bart-caption-en-v1" \
    --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": "circulus/vit-bart-caption-en-v1",
		"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 "circulus/vit-bart-caption-en-v1" \
        --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": "circulus/vit-bart-caption-en-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use circulus/vit-bart-caption-en-v1 with Docker Model Runner:
```
docker model run hf.co/circulus/vit-bart-caption-en-v1
```

rippertnt commited on Sep 11, 2022

Commit

9ff71e6

1 Parent(s): 223baa8

add tokenizer

Browse files

Files changed (5) hide show

merges.txt +0 -0
special_tokens_map.json +15 -0
tokenizer.json +0 -0
tokenizer_config.json +16 -0
vocab.json +0 -0

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special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,15 @@

+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

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tokenizer_config.json ADDED Viewed

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+{
+  "add_prefix_space": false,
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "mask_token": "<mask>",
+  "model_max_length": 1024,
+  "name_or_path": "facebook/bart-base",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "BartTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

vocab.json ADDED Viewed

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