Instructions to use knowledgator/SMILES-DeBERTa-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/SMILES-DeBERTa-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="knowledgator/SMILES-DeBERTa-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("knowledgator/SMILES-DeBERTa-large") model = AutoModelForMaskedLM.from_pretrained("knowledgator/SMILES-DeBERTa-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2724ed371a69572a79cba1cfcae110fe612be26a602e9fbd4618f0f06f788bbd
- Size of remote file:
- 269 MB
- SHA256:
- 94f20d9600e8ad4592b739ab726dbe56cab549ae06c1fc9573ac4902b5cfd1fd
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