Instructions to use alayaran/bodo-roberta-base-sentencepiece-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alayaran/bodo-roberta-base-sentencepiece-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alayaran/bodo-roberta-base-sentencepiece-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alayaran/bodo-roberta-base-sentencepiece-mlm") model = AutoModelForMaskedLM.from_pretrained("alayaran/bodo-roberta-base-sentencepiece-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc77028ddbb6080c928bfb716c1f23940ac8670705c01be5807323798bbf3424
- Size of remote file:
- 499 MB
- SHA256:
- 898d7268b5c83e8eaf722cd03a95229f2acb8aedb13c6baf8f9f53b70576c237
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