Instructions to use MultiBertGunjanPatrick/multiberts-seed-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MultiBertGunjanPatrick/multiberts-seed-2: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MultiBertGunjanPatrick/multiberts-seed-2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-2/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- b6a5127f20fd08a15d1a009c0377e7476b88c6cd06e924a714e57c4d838cee5f
- Size of remote file:
- 441 MB
- SHA256:
- 538597638730e8db2963e645cbe60b8d11147a12e258a16d22eed4743adc2419
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