Instructions to use sgugger/my-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgugger/my-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sgugger/my-bert-model", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sgugger/my-bert-model", trust_remote_code=True) model = AutoModel.from_pretrained("sgugger/my-bert-model", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| from transformers import BertModel | |
| class MyBertModel(BertModel): | |
| def forward(self, *args, **kwargs): | |
| print("This is a custom model, whose codes leaves in https://huggingface.co/sgugger/my-bert-model/edit/main/modeling.py") | |
| return super().forward(*args, **kwargs) | |