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 pytorch_model.bin from knowledgator/SMILES-DeBERTa-base: direct link, hf CLI and curl.
- Browser
- Download file 69.7 MB
-
https://huggingface.co/knowledgator/SMILES-DeBERTa-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://knowledgator/SMILES-DeBERTa-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/knowledgator/SMILES-DeBERTa-base/resolve/main/pytorch_model.bin
69.7 MB
- Xet hash:
- fc1764dc68238e08eea5926ee0c2f8759349c8d011b0585818870ea58700f2c0
- Size of remote file:
- 69.7 MB
- SHA256:
- 6039dcc6bd776d12ec50281486a7d2b27a5f3826caa023acc1022d50dcb74176
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