Instructions to use Guspfc/git-base-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Guspfc/git-base-captioning with Transformers:

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

pipe = pipeline("image-text-to-text", model="Guspfc/git-base-captioning")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Guspfc/git-base-captioning")
model = AutoModelForMultimodalLM.from_pretrained("Guspfc/git-base-captioning")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Guspfc/git-base-captioning with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/Guspfc/git-base-captioning

SGLang

How to use Guspfc/git-base-captioning 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 "Guspfc/git-base-captioning" \
    --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": "Guspfc/git-base-captioning",
		"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 "Guspfc/git-base-captioning" \
        --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": "Guspfc/git-base-captioning",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Guspfc/git-base-captioning with Docker Model Runner:
```
docker model run hf.co/Guspfc/git-base-captioning
```

Guspfc commited on Jun 10, 2024

Commit

09a2f75

verified ·

1 Parent(s): 36e0220

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Browse files

Files changed (2) hide show

README.md +1 -1
tokenizer.json +10 -1

README.md CHANGED Viewed

@@ -1,8 +1,8 @@
 ---
 license: mit
-base_model: microsoft/git-base
 tags:
 - generated_from_trainer
 datasets:
 - imagefolder
 model-index:

 ---
 license: mit
 tags:
 - generated_from_trainer
+base_model: microsoft/git-base
 datasets:
 - imagefolder
 model-index:

tokenizer.json CHANGED Viewed

@@ -1,7 +1,16 @@
 {
   "version": "1.0",
   "truncation": null,
-  "padding": null,
   "added_tokens": [
     {
       "id": 0,

 {
   "version": "1.0",
   "truncation": null,
+  "padding": {
+    "strategy": {
+      "Fixed": 512
+    },
+    "direction": "Right",
+    "pad_to_multiple_of": null,
+    "pad_id": 0,
+    "pad_type_id": 0,
+    "pad_token": "[PAD]"
+  },
   "added_tokens": [
     {
       "id": 0,