Graph Machine Learning
Transformers
Safetensors
graphs_gpt
text-generation
biology
medical
chemistry
Instructions to use DaizeDong/GraphsGPT-2W with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaizeDong/GraphsGPT-2W with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("DaizeDong/GraphsGPT-2W", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6173fe399534037c13b81879163b7e928998e6a217b1c37e81df5d58176252ec
- Size of remote file:
- 204 MB
- SHA256:
- 04992e70cc89ea091a09466234dacbed2d5c191965639d521f51de22dc003d33
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