Instructions to use unikei/bert-base-smiles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use unikei/bert-base-smiles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="unikei/bert-base-smiles")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("unikei/bert-base-smiles") model = AutoModelForPreTraining.from_pretrained("unikei/bert-base-smiles", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from unikei/bert-base-smiles: direct link, hf CLI and curl.
- Browser
- Download file 777 kB
-
https://huggingface.co/unikei/bert-base-smiles/resolve/main/tokenizer.json
- Command line
-
hf download hf://unikei/bert-base-smiles/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/unikei/bert-base-smiles/resolve/main/tokenizer.json
777 kB
File too large to display, you can check the raw version instead.