Graph Machine Learning
Transformers
Safetensors
graphs_gpt_conditioned
text-generation
biology
medical
chemistry
Instructions to use DaizeDong/GraphsGPT-1W-C with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DaizeDong/GraphsGPT-1W-C with Transformers:
# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("DaizeDong/GraphsGPT-1W-C", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8d47b9b2205a4f5476231199c3904c802a76af81eeef6546a69d7c6b385c64a
- Size of remote file:
- 204 MB
- SHA256:
- c4e7341d5c4667e9db13d2add072da2d4286590a90d5f15953e3ddc06c1dcc85
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