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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f20028e26506ffa760973566272c709633aded58d608415e9912019f3410e092
- Size of remote file:
- 3.06 kB
- SHA256:
- bddbe586151b26f3d680b912fd5b299b5a18e494e200e604cb2f0d65395c1c10
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