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:
- b1ca63903265eb6fe09406c4ef016e2b62170781ccd5f64bc830a5bcb576989d
- Size of remote file:
- 499 MB
- SHA256:
- 4a019a009316fbacb661a83355e54e730202129f54e88fd2f01e962c3e36f12f
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