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:
- d30ee343f606e679c67601a658f6f2df53042e3a008fbc8d77a22ada92369139
- Size of remote file:
- 538 MB
- SHA256:
- 2ca8611a34231bd6f13447a916581264e014a6b7f9b17adefa387892c7626562
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