Instructions to use djelia/bm-xlm-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djelia/bm-xlm-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="djelia/bm-xlm-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("djelia/bm-xlm-roberta-base") model = AutoModelForMaskedLM.from_pretrained("djelia/bm-xlm-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb9b0faee6c8ee1835cb38657c901261f5b2a44feaa26c563fd7767321d6d181
- Size of remote file:
- 1.12 GB
- SHA256:
- 025cd2563f9aa71c26999eed79c0115b400ce29bbe033a9026312032a2bbd9c2
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