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:
- 2478ba318239180f0bfa84f9edab335c93731d26fcee9b405e60177df569fbca
- Size of remote file:
- 4.03 kB
- SHA256:
- 3d67d2d3515a40cac3ad12b016a5abf3f9f6f2d0d74e9e0a35e88e52a935b099
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