Instructions to use knowledgator/SMILES-DeBERTa-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knowledgator/SMILES-DeBERTa-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="knowledgator/SMILES-DeBERTa-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("knowledgator/SMILES-DeBERTa-base") model = AutoModelForMaskedLM.from_pretrained("knowledgator/SMILES-DeBERTa-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download scheduler.pt from knowledgator/SMILES-DeBERTa-base: direct link, hf CLI and curl.
- Browser
- Download file 627 Bytes
-
https://huggingface.co/knowledgator/SMILES-DeBERTa-base/resolve/main/scheduler.pt
- Command line
-
hf download hf://knowledgator/SMILES-DeBERTa-base/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/knowledgator/SMILES-DeBERTa-base/resolve/main/scheduler.pt
627 Bytes
- Xet hash:
- 791d831ab741fff181c9d792cf24f14906c4a8523ae31246b41764c4df4a8422
- Size of remote file:
- 627 Bytes
- SHA256:
- 112de3917163de778634f225942613d7d0c882ee03368f3669aaa92b342805a3
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