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:
- d66e77b0002e77ac6162d104e8ccc83d6527c31da20af60a212515498d4ba63c
- Size of remote file:
- 657 MB
- SHA256:
- aac906457c8c4624bcb60d2e14e6c32af8a08d926df5042eabf26689e7012c22
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.