Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1200k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1200k with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1200k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1200k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MultiBertGunjanPatrick/multiberts-seed-1-1200k: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1200k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MultiBertGunjanPatrick/multiberts-seed-1-1200k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1200k/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- cb419cda55c25603f15bbbcffdc0137e9ee1a9203cfc111ba7d1c94e9751b0e9
- Size of remote file:
- 441 MB
- SHA256:
- 93b522a955ec6ecb79a20c0c642021c4cb265e202ecd9d9929651fe130d5aac4
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