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:
- a81f0ab0b01ad03153374ae150ebe169a23789b2a17c8daadbb6d6ad6e4281ab
- Size of remote file:
- 67.2 MB
- SHA256:
- 1fcd8f0f470479ecd9e8d0c269abd1ae76857ea7a0f47727119d0fea9e55f52d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.