Text Generation
Transformers
PyTorch
Safetensors
Japanese
English
llama
japanese
causal-lm
text-generation-inference
Instructions to use cyberagent/calm2-7b-chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyberagent/calm2-7b-chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="cyberagent/calm2-7b-chat")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("cyberagent/calm2-7b-chat") model = AutoModelForCausalLM.from_pretrained("cyberagent/calm2-7b-chat") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use cyberagent/calm2-7b-chat with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "cyberagent/calm2-7b-chat" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "cyberagent/calm2-7b-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/cyberagent/calm2-7b-chat
- SGLang
How to use cyberagent/calm2-7b-chat 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 "cyberagent/calm2-7b-chat" \ --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": "cyberagent/calm2-7b-chat", "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 "cyberagent/calm2-7b-chat" \ --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": "cyberagent/calm2-7b-chat", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use cyberagent/calm2-7b-chat with Docker Model Runner:
docker model run hf.co/cyberagent/calm2-7b-chat
Commit ·
f666a1e
1
Parent(s): dea81e3
「tokenizer_class」:「GPTNeoXTokenizerFast」に変更 (#2)
Browse files- Update tokenizer_config.json (71a334b5029b1febbcf8b4bb2ec430ea41ec3199)
Co-authored-by: Yasunori Ozaki <alfredplpl@users.noreply.huggingface.co>
- tokenizer_config.json +1 -1
tokenizer_config.json
CHANGED
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@@ -23,6 +23,6 @@
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"eos_token": "<|endoftext|>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|padding|>",
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-
"tokenizer_class": "
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"unk_token": "<|endoftext|>"
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}
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"eos_token": "<|endoftext|>",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<|padding|>",
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"tokenizer_class": "GPTNeoXTokenizerFast",
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"unk_token": "<|endoftext|>"
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}
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