Instructions to use knowledgator/SMILES-DeBERTa-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/SMILES-DeBERTa-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="knowledgator/SMILES-DeBERTa-small")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("knowledgator/SMILES-DeBERTa-small") model = AutoModelForMaskedLM.from_pretrained("knowledgator/SMILES-DeBERTa-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9f39d4f3c821a6d40da49cc8d82ebeb110a94b9e4d3463b4c9cb56ce2a13cd8
- Size of remote file:
- 33.6 MB
- SHA256:
- ecd9f3083b89e2d4e734fdb148b533e2bd04da17b2ed8763e1f30c0e0581fffc
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