Instructions to use Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-4")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-4") model = AutoModelForMaskedLM.from_pretrained("Addaci/bert-base-multilingual-cased-finetuned-yiddish-experiment-4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14473d46e2a71459e00d2e94e8f2570863b48140021f834f69c8d2edff549e98
- Size of remote file:
- 5.5 kB
- SHA256:
- 1b41263a6f6a8ab5806b154e889e39ee590537f92a116851955971c3e557bfdd
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