Instructions to use claudios/cubert-20210711-Python-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Python-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Python-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Python-1024") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Python-1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8e035bf1f3fdba094a5249c6fbe683f8e56ce93fca22a8d84bcf04f09398b36
- Size of remote file:
- 1.43 GB
- SHA256:
- 730612a5441359f48a645d4915673b862bf796d8172986b50967a127c6b37e05
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