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:
- 218621367a218d2a2e343c4db44733f7c11f7531aaba60cbe1fdbb52b9d4a41f
- Size of remote file:
- 16.8 MB
- SHA256:
- dbf02dc35db4b55bf39c73f86dce3eb51d3e06670e567b000d480325988ddbb9
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