Instructions to use chaimag/Bert_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaimag/Bert_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaimag/Bert_3")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chaimag/Bert_3") model = AutoModel.from_pretrained("chaimag/Bert_3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f56cf8494fbc1c3586e98bc10ff4d12ffff676ae80e20f4867f323de688c3ff
- Size of remote file:
- 473 MB
- SHA256:
- 16b2bd30ec306f53770ccf38e3db57dcfcc51c95f79c92cd9d93a9b54c360359
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