Instructions to use Raghad2003/model_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Raghad2003/model_output with Transformers:

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

pipe = pipeline("image-text-to-text", model="Raghad2003/model_output")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("Raghad2003/model_output")
model = AutoModelForMultimodalLM.from_pretrained("Raghad2003/model_output", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Raghad2003/model_output with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Raghad2003/model_output"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Raghad2003/model_output",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Raghad2003/model_output

SGLang

How to use Raghad2003/model_output 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 "Raghad2003/model_output" \
    --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": "Raghad2003/model_output",
		"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 "Raghad2003/model_output" \
        --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": "Raghad2003/model_output",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Raghad2003/model_output with Docker Model Runner:
```
docker model run hf.co/Raghad2003/model_output
```

Raghad2003 commited on Apr 1, 2024

Commit

57b9a79

verified ·

1 Parent(s): cf18d0b

ft-ms-git-base-pokemon-blip-captions

Browse files

Files changed (6) hide show

README.md +2 -2
config.json +1 -1
generation_config.json +1 -1
model.safetensors +1 -1
runs/Apr01_07-58-04_9f5b47447276/events.out.tfevents.1711958285.9f5b47447276.354.0 +3 -0
training_args.bin +2 -2

README.md CHANGED Viewed

@@ -48,7 +48,7 @@ The following hyperparameters were used during training:
 ### Framework versions
-- Transformers 4.38.2
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
 - Tokenizers 0.15.2

 ### Framework versions
+- Transformers 4.35.2
 - Pytorch 2.2.1+cu121
+- Datasets 2.15.0
 - Tokenizers 0.15.2

config.json CHANGED Viewed

@@ -22,7 +22,7 @@
   "position_embedding_type": "absolute",
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.38.2",
   "use_cache": true,
   "vision_config": {
     "dropout": 0.0,

   "position_embedding_type": "absolute",
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
   "use_cache": true,
   "vision_config": {
     "dropout": 0.0,

generation_config.json CHANGED Viewed

@@ -3,5 +3,5 @@
   "bos_token_id": 101,
   "eos_token_id": 102,
   "pad_token_id": 0,
-  "transformers_version": "4.38.2"
 }

   "bos_token_id": 101,
   "eos_token_id": 102,
   "pad_token_id": 0,
+  "transformers_version": "4.35.2"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e92d5b0495e5ccea64ef4ea7bad250dae286ef577544998a10d08fc648926c1e
 size 706516040

 version https://git-lfs.github.com/spec/v1
+oid sha256:51e3b335e4c4392d93ad4264590b7414c8b1418fe0d180f740ad20dc71756546
 size 706516040

runs/Apr01_07-58-04_9f5b47447276/events.out.tfevents.1711958285.9f5b47447276.354.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:26cfb91f42c40e23c54b940bd960e71bb41cfc5114387a5527c49a6fc2db07d3
+size 7247

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34f08a90a1c7b391498c00a7caedd901259e3829c1abf26aa50752b075d7f76f
-size 4920

 version https://git-lfs.github.com/spec/v1
+oid sha256:a92cc4fd299e98e6fc1b81b88c4ba7a3c68ae4e2c520df73ea3ff66a55a364ec
+size 4600