Instructions to use QuanHcmus/bert-finetuning-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QuanHcmus/bert-finetuning-cola with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("QuanHcmus/bert-finetuning-cola") model = AutoModelForSeq2SeqLM.from_pretrained("QuanHcmus/bert-finetuning-cola", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 527a7e96ed5501817ef73ca3e8cf6e532c8399722bb6aa62ff98950534492d42
- Size of remote file:
- 5.11 kB
- SHA256:
- dfb4ffe3dadd40d3ea67c4ef56b32acba678aef6aa756017f61c395792fa9659
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