Instructions to use sinonimayzer/UzRoBERTa-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sinonimayzer/UzRoBERTa-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sinonimayzer/UzRoBERTa-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sinonimayzer/UzRoBERTa-v2") model = AutoModelForMaskedLM.from_pretrained("sinonimayzer/UzRoBERTa-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5cf4819a13607f8acc998472a22f2f128c5e3388abcc1c150a5d98edab457a72
- Size of remote file:
- 4.6 kB
- SHA256:
- 6f706826172f79c5055a5461db9ef2a7519907d6942ca59d113ca6a29c2a6276
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