Instructions to use InstaDeepAI/ChatNT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use InstaDeepAI/ChatNT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="InstaDeepAI/ChatNT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("InstaDeepAI/ChatNT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use InstaDeepAI/ChatNT with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "InstaDeepAI/ChatNT" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "InstaDeepAI/ChatNT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/InstaDeepAI/ChatNT
- SGLang
How to use InstaDeepAI/ChatNT 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 "InstaDeepAI/ChatNT" \ --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": "InstaDeepAI/ChatNT", "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 "InstaDeepAI/ChatNT" \ --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": "InstaDeepAI/ChatNT", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use InstaDeepAI/ChatNT with Docker Model Runner:
docker model run hf.co/InstaDeepAI/ChatNT
Update chatNT.py
Browse files
chatNT.py
CHANGED
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@@ -588,7 +588,6 @@ class TorchMultiOmicsModel(PreTrainedModel):
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config_class = ChatNTConfig
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def __init__(self, config: ChatNTConfig) -> None:
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print("(debug) Entering in class")
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if isinstance(config, dict):
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# If config is a dictionary instead of ChatNTConfig (which can happen
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# depending how the config was saved), we convert it to the config
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if isinstance(config.perceiver_resampler_config, dict):
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config.perceiver_resampler_config = PerceiverResamplerConfig(**config.perceiver_resampler_config)
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print("(debug) config : ", config)
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print("(debug) config type : ", type(config))
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print("(debug) gpt config : ", config.gpt_config)
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print("(debug) gpt config type : ", type(config.gpt_config))
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print("(debug) esm config : ", config.esm_config)
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print("(debug) esm config type : ", type(config.esm_config))
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super().__init__(config=config)
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self.gpt_config = config.gpt_config
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config_class = ChatNTConfig
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def __init__(self, config: ChatNTConfig) -> None:
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if isinstance(config, dict):
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# If config is a dictionary instead of ChatNTConfig (which can happen
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# depending how the config was saved), we convert it to the config
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if isinstance(config.perceiver_resampler_config, dict):
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config.perceiver_resampler_config = PerceiverResamplerConfig(**config.perceiver_resampler_config)
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super().__init__(config=config)
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self.gpt_config = config.gpt_config
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