Instructions to use benjamin/roberta-large-wechsel-ukrainian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use benjamin/roberta-large-wechsel-ukrainian with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="benjamin/roberta-large-wechsel-ukrainian")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("benjamin/roberta-large-wechsel-ukrainian") model = AutoModelForMaskedLM.from_pretrained("benjamin/roberta-large-wechsel-ukrainian") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f616fad0ae47803dac7d578e689b7e923c97d83e9a1841832041a355f47ad4ac
- Size of remote file:
- 1.42 GB
- SHA256:
- 0e08e34d949a0c9ac8098e19a27635d8cae54b35cab9f2e16a407965ef63b636
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