Instructions to use zypchn/ProtGPT2-Oxido with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zypchn/ProtGPT2-Oxido with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="zypchn/ProtGPT2-Oxido")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("zypchn/ProtGPT2-Oxido") model = AutoModelForCausalLM.from_pretrained("zypchn/ProtGPT2-Oxido") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use zypchn/ProtGPT2-Oxido with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "zypchn/ProtGPT2-Oxido" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zypchn/ProtGPT2-Oxido", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/zypchn/ProtGPT2-Oxido
- SGLang
How to use zypchn/ProtGPT2-Oxido 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 "zypchn/ProtGPT2-Oxido" \ --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": "zypchn/ProtGPT2-Oxido", "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 "zypchn/ProtGPT2-Oxido" \ --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": "zypchn/ProtGPT2-Oxido", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use zypchn/ProtGPT2-Oxido with Docker Model Runner:
docker model run hf.co/zypchn/ProtGPT2-Oxido
Model
This is a fine-tuned version of ProtGPT2 : a language model that speaks the protein language and can be used for de novo protein design and engineering.
Dataset
Protein data set retrieved from Research Collaboratory for Structural Bioinformatics (RCSB) Protein Data Bank (PDB).
Only the OXIDOREDUCTASE enzymes were used.
You can find the JSON formatted data @ oxidos.json
How to Use?
>>> from transformers import pipeline
>>> pipe = pipeline("text-generation", model="zypchn/ProtGPT2-Oxido")
>>> sequences = pipe("", max_length=100, do_sample=True, top_k=950, repetition_penalty=1.2, num_return_sequences=5, eos_token_id=0)
# input field has left blank for diversity
[
{"generated_text": "SNANQAPQPQTPTRATDAKKGSYGHPADRVGMEDNKYQVGVFYYDGPNPSYAEWNRDTQFWVETAKTAEKGKFDSIFFADTLGIYDSFKGSFEANLRHGAQFPVNDPLVAISAIAGATTKLGLVATASTTYSEPFHIARRFASLDHLSNGRAGWNIVTSYLDSAARNFGRTEQMEHDERYAIAEEYIDVVYKLWEGSWEDNAVIKDKETGLFTDPAKVHQINHEGEHFRVAGPLNIPRSPQGHPVIFQAGTSERGRDFAARHAEAVFTAQLDLEAGREFYEDIKSRAAKLGRDPDDVKILPGISVFVGKTREEAERKFRELQSLIDEEGALTRFSSYTGTDLSTYDPDGPLPELAGIDPTTPIAKLEGLLGKSKMTVREIALKQGGVSLREYQPFVGATAGSALVGGTPEQIADFMQDWFIEGTVDGFNIMPPYLPDGLEDFVDHVVPELQRRGLFRTEYEGTTLREHLGLAKPLEHHHHHH"},
{"generated_text": "MGSSHHHHHHSSGLVPRGSHMASMTGGQQMGRGSMGPCLICRSTSLKCVFCVRDPNGYKKCSKCDAFFCSRECQTEHWQRHHKFECPAAVAQPQIPPLPKPQQKQLTAAELGMFMEVRNQFALLKTNLERLDYEIFILERNVKLANTVTPPTNRTYFQSTMRYAPNPLRPNMTDAMRQQYLDKNKSSAALEHDLKELIKFKCYLLNDEYVEKEREENPFIWEYFLNKEWRKRNVWGNK\n"},
{"generated_text": "MGHHHHHHSSGLVPRGSHMTVEQAKKLRAEAEAQAQIQDKAKAIAQTHGKVEVMVDGKHRVVDLDATTRRQLTDGELQAIVVAAQEAAAKQLKAQRQALLEQHQDAELRKLALEGEIV\nAVITGAAQGIGRAIALRLAKDGFRVAVADIDLAAAEAVAAEIEAKGGKALVIEGDVSREEDVKRLVRKAIDQFGRLDYAVNNAGIQGPLAPTEELPLALWNKVIDVNLTGVFLCMKYEIAQMVKQGRGGAIVNTASVAGLSGQPGMVAYCASKHGVVGLTKTVAIEYAKHGIRINAVAPGFIDTPMVQKLPEEKRARIAAAIPMRRLGQPDEIAAVVAFLLSDDASFITGQCIAVDGGFTAGLLA"},
{"generated_text": "MAASKAADSLAEGAAKLEHHHHHH"},
{"generated_text": "GSKPQPGVQVEGAKCQVLQAVYDFTVQSASELSFKAGDVICVTGQYDPTLGWWLAEERRTGKSGLVPENYVELLSTGPAQHHHHHH"}
]
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Model tree for zypchn/ProtGPT2-Oxido
Base model
nferruz/ProtGPT2