Instructions to use researchaccount/continue_mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use researchaccount/continue_mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="researchaccount/continue_mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("researchaccount/continue_mlm") model = AutoModelForMaskedLM.from_pretrained("researchaccount/continue_mlm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 646cbcc4c01e0e8528d62cdea171ff56c7261edb148e9475909fa0525f262bb5
- Size of remote file:
- 652 MB
- SHA256:
- 6fa6241e7c9bb6e1ba48aea2b51e320bdf3ed23f144cfba8437bd7d0bcf0fef5
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