Instructions to use claudios/cubert-20210711-Python-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Python-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Python-2048")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Python-2048") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Python-2048") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b50b7ac6882b60c82a995cf0ade4089866a1a073199dcd4725226b8c8d00d4a
- Size of remote file:
- 1.43 GB
- SHA256:
- cc6a9bb3051f29164cbfb584d6ebd58c80e07bcafcf0cab0f3574c1eba6abd77
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