Instructions to use dreamerdeo/ground-en-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dreamerdeo/ground-en-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dreamerdeo/ground-en-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dreamerdeo/ground-en-roberta-base") model = AutoModelForMaskedLM.from_pretrained("dreamerdeo/ground-en-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e69f3029a09e7c39a0940db213542c63d468dae098db5c9b7714d58a663b3815
- Size of remote file:
- 507 MB
- SHA256:
- 1041c2a9a388a0502faf0630b1d9b4734b36867f2adadc0d2f574cf5842a73f5
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