Instructions to use nide01/pokemon_captions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nide01/pokemon_captions with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="nide01/pokemon_captions")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nide01/pokemon_captions") model = AutoModelForMultimodalLM.from_pretrained("nide01/pokemon_captions", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use nide01/pokemon_captions with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "nide01/pokemon_captions" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "nide01/pokemon_captions", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/nide01/pokemon_captions
- SGLang
How to use nide01/pokemon_captions 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 "nide01/pokemon_captions" \ --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": "nide01/pokemon_captions", "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 "nide01/pokemon_captions" \ --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": "nide01/pokemon_captions", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use nide01/pokemon_captions with Docker Model Runner:
docker model run hf.co/nide01/pokemon_captions
End of training
Browse files
README.md
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer Score |
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### Framework versions
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This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 6.8347
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- Wer Score: 36.5683
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer Score |
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| 9.5449 | 0.21 | 10 | 8.4043 | 75.6190 |
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| 8.092 | 0.43 | 20 | 7.6198 | 76.5618 |
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| 7.4582 | 0.64 | 30 | 7.1177 | 60.0286 |
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| 7.0634 | 0.85 | 40 | 6.8347 | 36.5683 |
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### Framework versions
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runs/Nov21_08-52-25_Heribertos-MacBook-Pro.local/events.out.tfevents.1700556745.Heribertos-MacBook-Pro.local.11575.0
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