Instructions to use EinsZwo/05_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EinsZwo/05_python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="EinsZwo/05_python")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("EinsZwo/05_python") model = AutoModelForMaskedLM.from_pretrained("EinsZwo/05_python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85f6ffa9917d16b197129584a452742e8ea7a2ab700217d35a17a1c319ac8ad4
- Size of remote file:
- 499 MB
- SHA256:
- 1d5011fdd89294a59d1b868a0b5f70dc62e8c598fb5642e63811afe6c0c9d043
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