Instructions to use harish/BERTBaseClone-10000-6000000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/BERTBaseClone-10000-6000000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("harish/BERTBaseClone-10000-6000000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
5c8815f -
allow flax
9821190
-
Update config.json
943dfba
-
Update model.ckpt-500000.meta
ed519a5 -
Update pytorch_model.bin
c3a3933 -
Update model.ckpt-500000.index
56f2dd0 -
Update model.ckpt-500000.data-00000-of-00001
592a8fb -
Update tokenizer_config.json
06af222 -
Update vocab.txt
54299fa -
Update config.json
9f144c1 -
Update special_tokens_map.json
c47f21d -
initial commit
95f377b