Instructions to use Kudod/roberta-mlm-model-v2.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kudod/roberta-mlm-model-v2.11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kudod/roberta-mlm-model-v2.11")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kudod/roberta-mlm-model-v2.11") model = AutoModelForMaskedLM.from_pretrained("Kudod/roberta-mlm-model-v2.11") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10d103d956d91ef479e65a83b5d0dd4fa966fb0db9520f4f31a741366666110f
- Size of remote file:
- 5.78 kB
- SHA256:
- b6dcca334b71690337886fdbddebea775bd7b37bb2ba6c186dee04ce84e721f4
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