Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1700k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1700k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1700k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1700k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MultiBertGunjanPatrick/multiberts-seed-1-1700k: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1700k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MultiBertGunjanPatrick/multiberts-seed-1-1700k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1700k/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- feacfcb825dedb59fe6d559f2958e725dc3e7a029ee3e8c515cabce54891306f
- Size of remote file:
- 441 MB
- SHA256:
- 25e0a6db9db5f175ae5b91d5850aa367c74dd80bfb5d30a0397d2d128815a251
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