Instructions to use yzhou992/test_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yzhou992/test_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="yzhou992/test_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("yzhou992/test_model2") model = AutoModelForMaskedLM.from_pretrained("yzhou992/test_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2aa2d469f82c4ba77e0522aa9c652c1a63e44977b9a4ed77caa11c15e3c7358a
- Size of remote file:
- 2.8 kB
- SHA256:
- 4cb5f17a9452d6c048e3803ab662fb96e79c956c3499c097be6f0b10922dac7c
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