Fill-Mask
Transformers
Safetensors
English
materials-science
crystal-structure
foundation-model
chemistry
bert
scope
cloud
Instructions to use ChangwenXu/CLOUD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ChangwenXu/CLOUD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ChangwenXu/CLOUD")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ChangwenXu/CLOUD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add model card and SCOPE tokenizer files
Changwen XuAdd a Hugging Face model card (README.md) describing CLOUD, its architecture, intended use, usage examples, citation, and license. Add the SCOPE tokenizer files (vocab.txt, tokenizer_config.json, special_tokens_map.json, added_tokens.json) into ckpt/ so that AutoTokenizer.from_pretrained works alongside the model checkpoint.7cf9973
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Upload checkpoint
Changwen Xu146d3f2 -
initial commit
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