Instructions to use ferdmartin/HF_BertBasedModelAppDocs2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ferdmartin/HF_BertBasedModelAppDocs2 with Transformers:
# Load model directly from transformers import AutoTokenizer, MyHFModel_BertBased tokenizer = AutoTokenizer.from_pretrained("ferdmartin/HF_BertBasedModelAppDocs2") model = MyHFModel_BertBased.from_pretrained("ferdmartin/HF_BertBasedModelAppDocs2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 658e9bea650675a7ac62dbd64f2ae787aa4160f7393b188fd89ad02176ca10d0
- Size of remote file:
- 438 MB
- SHA256:
- 61354a18b475a13fcd61b1bc9c6abb0fef5f3e51f71486a7744e025eedf7aeaa
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