Instructions to use BonySmoke/gec-ua-uk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BonySmoke/gec-ua-uk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BonySmoke/gec-ua-uk")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("BonySmoke/gec-ua-uk") model = AutoModelForSeq2SeqLM.from_pretrained("BonySmoke/gec-ua-uk") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BonySmoke/gec-ua-uk with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BonySmoke/gec-ua-uk" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BonySmoke/gec-ua-uk", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BonySmoke/gec-ua-uk
- SGLang
How to use BonySmoke/gec-ua-uk 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 "BonySmoke/gec-ua-uk" \ --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": "BonySmoke/gec-ua-uk", "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 "BonySmoke/gec-ua-uk" \ --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": "BonySmoke/gec-ua-uk", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BonySmoke/gec-ua-uk with Docker Model Runner:
docker model run hf.co/BonySmoke/gec-ua-uk
gec-ua-study
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README.md
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license: mit
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metrics:
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# gec-ua-uk
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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### Framework versions
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license: mit
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base_model: BonySmoke/gec-ua-uk
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tags:
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metrics:
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# gec-ua-uk
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This model is a fine-tuned version of [BonySmoke/gec-ua-uk](https://huggingface.co/BonySmoke/gec-ua-uk) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0267
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- Bleu: 0.9051
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- Gen Len: 27.9751
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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| No log | 1.0 | 375 | 0.0266 | 0.9001 | 27.9362 |
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| 0.0282 | 2.0 | 750 | 0.0267 | 0.9051 | 27.9751 |
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### Framework versions
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pytorch_model.bin
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