Instructions to use chaimag/Bert_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaimag/Bert_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaimag/Bert_2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chaimag/Bert_2") model = AutoModel.from_pretrained("chaimag/Bert_2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01e68ec4c05f11ad202ac3fc2fec92bac5fdf9175dc3a5e03de2a72c6aed2bf8
- Size of remote file:
- 438 MB
- SHA256:
- 7ad6e9cf08d2c1aaeb0f85475e92adb545ab105878149ceec1c40960f82f24f4
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