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")# 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") - Notebooks
- Google Colab
- Kaggle
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| **Number of questions** | 2321 | 300 | 259 | 2880 |
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You can also use the [dataset](https://
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## Training
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| **Number of questions** | 2321 | 300 | 259 | 2880 |
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You can also use the [dataset](https://huggingface.co/datasets/AndyChiang/dgen) we have already cleaned.
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## Training
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