Instructions to use novelcore/gem-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use novelcore/gem-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="novelcore/gem-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("novelcore/gem-roberta") model = AutoModelForMaskedLM.from_pretrained("novelcore/gem-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c554afde7709d89f108f069e097354abb36367c15673f5af1008483c12f5e58
- Size of remote file:
- 499 MB
- SHA256:
- 6d8625e405908b9381abeff9a2828a3b0895921fce29e0b0a12fe5b331f6fe5e
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