Instructions to use griffio/git-base-one-5e-5-25 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use griffio/git-base-one-5e-5-25 with Transformers:

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

pipe = pipeline("image-text-to-text", model="griffio/git-base-one-5e-5-25")

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("griffio/git-base-one-5e-5-25")
model = AutoModelForImageTextToText.from_pretrained("griffio/git-base-one-5e-5-25")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use griffio/git-base-one-5e-5-25 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "griffio/git-base-one-5e-5-25"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "griffio/git-base-one-5e-5-25",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/griffio/git-base-one-5e-5-25

SGLang

How to use griffio/git-base-one-5e-5-25 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 "griffio/git-base-one-5e-5-25" \
    --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": "griffio/git-base-one-5e-5-25",
		"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 "griffio/git-base-one-5e-5-25" \
        --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": "griffio/git-base-one-5e-5-25",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use griffio/git-base-one-5e-5-25 with Docker Model Runner:
```
docker model run hf.co/griffio/git-base-one-5e-5-25
```

git-base-one-5e-5-25

This model is a fine-tuned version of microsoft/git-base on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 3.8238
Wer Score: 5.8

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer Score
No log	1.25	5	9.5084	50.1
9.9196	2.5	10	8.4842	64.85
9.9196	3.75	15	7.9215	67.6
8.0697	5.0	20	7.4826	66.45
8.0697	6.25	25	7.0776	53.95
7.2067	7.5	30	6.6926	18.05
7.2067	8.75	35	6.3268	17.6
6.4594	10.0	40	5.9807	19.8
6.4594	11.25	45	5.6568	19.35
5.7908	12.5	50	5.3563	6.15
5.7908	13.75	55	5.0803	6.2
5.2135	15.0	60	4.8305	5.8
5.2135	16.25	65	4.6068	5.75
4.7358	17.5	70	4.4111	5.8
4.7358	18.75	75	4.2427	5.8
4.3652	20.0	80	4.1027	5.8
4.3652	21.25	85	3.9908	5.8
4.1076	22.5	90	3.9070	5.8
4.1076	23.75	95	3.8515	5.8
3.9616	25.0	100	3.8238	5.8

Framework versions

Transformers 4.44.2
Pytorch 2.5.0+cu121
Datasets 3.0.2
Tokenizers 0.19.1

Downloads last month: 7

Safetensors

Model size

0.2B params

Tensor type

F32

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Model tree for griffio/git-base-one-5e-5-25

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microsoft/git-base

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