Instructions to use BabyLM-community/eus-baseline-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BabyLM-community/eus-baseline-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="BabyLM-community/eus-baseline-small")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BabyLM-community/eus-baseline-small") model = AutoModelForCausalLM.from_pretrained("BabyLM-community/eus-baseline-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use BabyLM-community/eus-baseline-small with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "BabyLM-community/eus-baseline-small" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "BabyLM-community/eus-baseline-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/BabyLM-community/eus-baseline-small
- SGLang
How to use BabyLM-community/eus-baseline-small 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 "BabyLM-community/eus-baseline-small" \ --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": "BabyLM-community/eus-baseline-small", "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 "BabyLM-community/eus-baseline-small" \ --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": "BabyLM-community/eus-baseline-small", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use BabyLM-community/eus-baseline-small with Docker Model Runner:
docker model run hf.co/BabyLM-community/eus-baseline-small
BabyLM-community/eus-baseline-small
Browse files- README.md +15 -1
- merges.txt +9 -9
- model.safetensors +1 -1
- tokenizer.json +0 -0
- training_args.bin +1 -1
- vocab.json +0 -0
README.md
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# eus-baseline-small
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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### Training results
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### Framework versions
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# eus-baseline-small
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.4351
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 5.1695 | 1.0 | 2279 | 4.4543 |
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| 4.2664 | 2.0 | 4558 | 4.0723 |
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| 3.9875 | 3.0 | 6837 | 3.8665 |
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| 3.8134 | 4.0 | 9116 | 3.7303 |
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| 3.6885 | 5.0 | 11395 | 3.6272 |
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| 3.5941 | 6.0 | 13674 | 3.5577 |
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| 3.5221 | 7.0 | 15953 | 3.5073 |
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| 3.4682 | 8.0 | 18232 | 3.4691 |
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| 3.4281 | 9.0 | 20511 | 3.4452 |
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| 3.3999 | 10.0 | 22790 | 3.4351 |
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### Framework versions
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