Instructions to use zai-org/cogagent-chat-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zai-org/cogagent-chat-hf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="zai-org/cogagent-chat-hf", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("zai-org/cogagent-chat-hf", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use zai-org/cogagent-chat-hf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "zai-org/cogagent-chat-hf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "zai-org/cogagent-chat-hf", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/zai-org/cogagent-chat-hf
- SGLang
How to use zai-org/cogagent-chat-hf 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 "zai-org/cogagent-chat-hf" \ --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": "zai-org/cogagent-chat-hf", "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 "zai-org/cogagent-chat-hf" \ --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": "zai-org/cogagent-chat-hf", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use zai-org/cogagent-chat-hf with Docker Model Runner:
docker model run hf.co/zai-org/cogagent-chat-hf
Commit ·
d519da3
1
Parent(s): 9f15841
Update visual.py
Browse files
visual.py
CHANGED
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@@ -130,7 +130,7 @@ class EVA2CLIPModel(nn.Module):
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x = self.transformer(x)
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x = x[:, 1:]
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x = self.linear_proj(x + self.pos_embed.to(x.device).unsqueeze(0))
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boi = self.boi.expand(x.shape[0], -1, -1)
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eoi = self.eoi.expand(x.shape[0], -1, -1)
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x = torch.cat((boi, x, eoi), dim=1)
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return x
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x = self.transformer(x)
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x = x[:, 1:]
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x = self.linear_proj(x + self.pos_embed.to(x.device).unsqueeze(0))
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boi = self.boi.to(x.device).expand(x.shape[0], -1, -1)
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eoi = self.eoi.to(x.device).expand(x.shape[0], -1, -1)
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x = torch.cat((boi, x, eoi), dim=1)
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return x
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