Instructions to use alayaran/bodo-bert-mlm-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alayaran/bodo-bert-mlm-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alayaran/bodo-bert-mlm-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alayaran/bodo-bert-mlm-base") model = AutoModelForMaskedLM.from_pretrained("alayaran/bodo-bert-mlm-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alayaran/bodo-bert-mlm-base: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/alayaran/bodo-bert-mlm-base/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://alayaran/bodo-bert-mlm-base@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alayaran/bodo-bert-mlm-base/resolve/refs%2Fpr%2F1/training_args.bin
3.57 kB
- Xet hash:
- f376addb361b03647ef198f651dcfd8d5d0268e59bc9c862ac64ac8b699fdc94
- Size of remote file:
- 3.57 kB
- SHA256:
- 985e00fc2e086aeec377be26434e58885ddba13a249a08805b9ca02c23fd2a6f
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