Instructions to use AnonymousSub/AR_bert-base-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/AR_bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AnonymousSub/AR_bert-base-uncased")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/AR_bert-base-uncased") model = AutoModel.from_pretrained("AnonymousSub/AR_bert-base-uncased") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0abd039be6c774b8c21f5e0b4ff965818eff4c5db61b0cda8296259f3f4a7cf
- Size of remote file:
- 438 MB
- SHA256:
- 4b742f96d3ef043f4572a58ad3b84cbc2f2fcd659fe65d8ea30211dd7639214a
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