Instructions to use claudios/cubert-20210711-Python-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Python-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Python-512")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Python-512") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Python-512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d314c7909e5ee22eea0a7d65dfb4047f1e8fbd9d14d817114c61caec9b2877f1
- Size of remote file:
- 1.42 GB
- SHA256:
- 5dad960c192277eab12b96ca0f5247501c73521d55f6074480be863ef2487461
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