Instructions to use EinsZwo/025_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/025_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/025_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/025_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/025_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a158a137412711c3f34deda2b5f907294bd5b9dfde0320e9c97b6515cf053fa
- Size of remote file:
- 499 MB
- SHA256:
- face6080e697f9ea9475f9e0d51390c785caa02217e296c3cd755b1043b63d8b
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