Instructions to use MultiBertGunjanPatrick/multiberts-seed-0-400k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-0-400k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-400k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-0-400k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MultiBertGunjanPatrick/multiberts-seed-0-400k: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-0-400k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MultiBertGunjanPatrick/multiberts-seed-0-400k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-0-400k/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- eeb0308eb683be36f7f4ec4c17a2912a1f23755250604e2f92168bfc0c73ad5c
- Size of remote file:
- 441 MB
- SHA256:
- 332b4dd30d5fada25ff76d98602ad56cc8022e7418469343e34d394d9d4ebc1c
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