Instructions to use EinsZwo/075_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/075_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/075_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/075_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/075_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec1ac11e7362e4f05e130fc9c5c3c0c2e923466128ba22cdd0429bfcf9862a2d
- Size of remote file:
- 499 MB
- SHA256:
- 14d317d502a1a0c605fbdb5b2ef2d0d4971e429f9f6b01cc9f904ae3bda6b5c5
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