Instructions to use EinsZwo/1_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/1_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/1_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/1_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/1_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85b61a29765346112f6f7626ac8e637da175e8a67fac18fe09dc37e2b92f65d1
- Size of remote file:
- 499 MB
- SHA256:
- 473b50c587f3fb9cf23f60765a07edc0106fca5dd6a1370480897682b9cee198
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