Instructions to use AndyChiang/cdgp-csg-scibert-dgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-scibert-dgen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AndyChiang/cdgp-csg-scibert-dgen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-scibert-dgen") model = AutoModelForMaskedLM.from_pretrained("AndyChiang/cdgp-csg-scibert-dgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from AndyChiang/cdgp-csg-scibert-dgen: direct link, hf CLI and curl.
- Browser
- Download file 21 Bytes
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https://huggingface.co/AndyChiang/cdgp-csg-scibert-dgen/resolve/fda3f76f1c2a94dd9be471cce8c3b300ede19bb4/README.md
- Command line
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hf download hf://AndyChiang/cdgp-csg-scibert-dgen@fda3f76f1c2a94dd9be471cce8c3b300ede19bb4/README.md
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curl -L -o README.md https://huggingface.co/AndyChiang/cdgp-csg-scibert-dgen/resolve/fda3f76f1c2a94dd9be471cce8c3b300ede19bb4/README.md
21 Bytes
metadata
license: mit