Instructions to use dani0f/bert_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dani0f/bert_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dani0f/bert_model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dani0f/bert_model") model = AutoModel.from_pretrained("dani0f/bert_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f361f33058ae3afc678705d71ceb0f3ca337f0579ee89a8a55fe429c5587f9bb
- Size of remote file:
- 438 MB
- SHA256:
- 3784ef7b09cf0425ac1fe17128ef7a09e645f7ae9c8da73971bb83d5fbf93fa7
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