Instructions to use shirzady1934/results4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shirzady1934/results4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shirzady1934/results4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shirzady1934/results4") model = AutoModelForMaskedLM.from_pretrained("shirzady1934/results4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2f580e8ad85fe2da2348c79f092bf8b11451657ebdf1813782d1d733333aac7
- Size of remote file:
- 5.24 kB
- SHA256:
- ed0ee4ffc4b547fd5d15f4d73b1f3005b306b8cbe27129a9b31a64b687491eba
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