Instructions to use suku9/pretrain_11_07_2025 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use suku9/pretrain_11_07_2025 with Transformers:
# Load model directly from transformers import AutoTokenizer, GPT2ForSMILES tokenizer = AutoTokenizer.from_pretrained("suku9/pretrain_11_07_2025") model = GPT2ForSMILES.from_pretrained("suku9/pretrain_11_07_2025", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4dfee6d6c5de5dd1a069c85169f263d72c2e9453e2f0cb5ef61efce8aa3b355
- Size of remote file:
- 5.37 kB
- SHA256:
- e407649956ecf8a3ed87107043a2ab2e94f35a49e7208482cadb44eb47ef7b46
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