Instructions to use chaimag/Bert_4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chaimag/Bert_4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="chaimag/Bert_4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("chaimag/Bert_4") model = AutoModel.from_pretrained("chaimag/Bert_4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b6af94b8c031d7f26ddbfc0880f706d01356b0e2542fe47586d6a6b21a50d6d
- Size of remote file:
- 473 MB
- SHA256:
- d06e73c8203586c48999de21ea007410d0841e7e26b8f61aa4c513a9a525eabe
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