Instructions to use MultiBertGunjanPatrick/multiberts-seed-1-1300k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MultiBertGunjanPatrick/multiberts-seed-1-1300k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1300k") model = AutoModelForPreTraining.from_pretrained("MultiBertGunjanPatrick/multiberts-seed-1-1300k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from MultiBertGunjanPatrick/multiberts-seed-1-1300k: direct link, hf CLI and curl.
- Browser
- Download file 441 MB
-
https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1300k/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://MultiBertGunjanPatrick/multiberts-seed-1-1300k/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/MultiBertGunjanPatrick/multiberts-seed-1-1300k/resolve/main/pytorch_model.bin
441 MB
- Xet hash:
- c94d9898113c6903a0cfab9a62acf27f70e7923b5df4a3b4a6c58dfdc01e5e9f
- Size of remote file:
- 441 MB
- SHA256:
- ab09d07794c2054b0464cda7d3a3329db5a66398c785da7ceb65d893ed3e7293
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