Instructions to use xdai/mimic_roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xdai/mimic_roberta_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="xdai/mimic_roberta_base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("xdai/mimic_roberta_base") model = AutoModelForMaskedLM.from_pretrained("xdai/mimic_roberta_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1d250ecb3218901b9b0867fc298644627254e30cd209aa210fef9a10ee47b97
- Size of remote file:
- 1.39 kB
- SHA256:
- 5d7bb9abd5b424962b89c0b7b12d6796f4ae4470ad68977139c0bc46c00398af
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