Instructions to use neurocode/IsRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neurocode/IsRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neurocode/IsRoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neurocode/IsRoBERTa") model = AutoModelForMaskedLM.from_pretrained("neurocode/IsRoBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a96562ec3153d6cfc8d20a98807d615bbcea2c76fac02bc98ad395864a72af89
- Size of remote file:
- 334 MB
- SHA256:
- 92f68f3d4bc6db6bb575b52c8e537840deea8d5b295d24b9668a45544e7ff5bb
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