Instructions to use tobiaslee/bert-6L-768H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tobiaslee/bert-6L-768H with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("tobiaslee/bert-6L-768H", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from tobiaslee/bert-6L-768H: direct link, hf CLI and curl.
- Browser
- Download file 270 MB
-
https://huggingface.co/tobiaslee/bert-6L-768H/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://tobiaslee/bert-6L-768H/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/tobiaslee/bert-6L-768H/resolve/main/pytorch_model.bin
270 MB
- Xet hash:
- 8e1dc7b90d8c4c5221cf4e4a6138c9d353546e831d9e10537968dab32e1970e0
- Size of remote file:
- 270 MB
- SHA256:
- 3a1fecf937f55e791276e9afd8e69ece8ed89e04040e4079ea378a14cd4f2334
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