Instructions to use connermanuel/temporal_attention_bert-sample-2e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use connermanuel/temporal_attention_bert-sample-2e5 with Transformers:
# Load model directly from transformers import AutoTokenizer, BertForTemporalMaskedLM tokenizer = AutoTokenizer.from_pretrained("connermanuel/temporal_attention_bert-sample-2e5") model = BertForTemporalMaskedLM.from_pretrained("connermanuel/temporal_attention_bert-sample-2e5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7ea9c7dde201ef3dbc53cdd88aeff7a44d9bf6b817a57d4402da77a4419e779
- Size of remote file:
- 3.38 kB
- SHA256:
- b0fa36c467d1076f1cc47f5196c2ff312fb83bbcc62746f40eea2f064ecdaa8b
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