Reinforcement Learning
Transformers
Safetensors
llama
text-generation
llama-3
traffic-signal-control
multi-agent
text-generation-inference
Instructions to use ljxys/CoLLMLight-8B-Llama3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ljxys/CoLLMLight-8B-Llama3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ljxys/CoLLMLight-8B-Llama3") model = AutoModelForCausalLM.from_pretrained("ljxys/CoLLMLight-8B-Llama3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5067e6f88358dec8066dc43a00c09de19b0f7a8e436e59423f3934c5edf05275
- Size of remote file:
- 17.2 MB
- SHA256:
- ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
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