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 pytorch_model.bin from alayaran/bodo-bert-mlm-base: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/alayaran/bodo-bert-mlm-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://alayaran/bodo-bert-mlm-base@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/alayaran/bodo-bert-mlm-base/resolve/refs%2Fpr%2F1/pytorch_model.bin
438 MB
- Xet hash:
- aee5d801b9dbdc404b60baacfdea718da19019825439f8172446debe25632832
- Size of remote file:
- 438 MB
- SHA256:
- ee92852805297e6c48b6a63d6652149ed13e8b43c1ec7bb967e71e75d19d32d3
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