Instructions to use ZhaoyiGUAN/Bert_Fintuning_Test1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZhaoyiGUAN/Bert_Fintuning_Test1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ZhaoyiGUAN/Bert_Fintuning_Test1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ZhaoyiGUAN/Bert_Fintuning_Test1") model = AutoModelForMaskedLM.from_pretrained("ZhaoyiGUAN/Bert_Fintuning_Test1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b90c1fdcffb9dbeeeb3a32a8f09e0ebbbc07743b73eba3609589913b333b0415
- Size of remote file:
- 438 MB
- SHA256:
- 956807c6c2a24895200775a1f020816fc84513c2419b0f03e50c919f59a36045
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