Instructions to use microsoft/BioGPT-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/BioGPT-Large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/BioGPT-Large")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/BioGPT-Large") model = AutoModelForCausalLM.from_pretrained("microsoft/BioGPT-Large") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use microsoft/BioGPT-Large with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/BioGPT-Large" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/BioGPT-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/microsoft/BioGPT-Large
- SGLang
How to use microsoft/BioGPT-Large 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 "microsoft/BioGPT-Large" \ --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": "microsoft/BioGPT-Large", "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 "microsoft/BioGPT-Large" \ --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": "microsoft/BioGPT-Large", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use microsoft/BioGPT-Large with Docker Model Runner:
docker model run hf.co/microsoft/BioGPT-Large
Upload BioGptForCausalLM
Browse files- config.json +27 -0
- generation_config.json +7 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "BioGPT-large",
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"activation_dropout": 0.0,
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"architectures": [
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"BioGptForCausalLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1600,
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"initializer_range": 0.02,
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"intermediate_size": 6400,
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"layer_norm_eps": 1e-12,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "biogpt",
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"num_attention_heads": 25,
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"num_hidden_layers": 48,
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"pad_token_id": 1,
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"scale_embedding": true,
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"torch_dtype": "float32",
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"transformers_version": "4.27.0.dev0",
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"use_cache": true,
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"vocab_size": 57717
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.27.0.dev0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1753ea5af6449aaf63a105a59a619632b78cbfc2c294ba78f3164156af8c8bf
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size 6285015277
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