Instructions to use ashwani-tanwar/Gujarati-XLM-R-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashwani-tanwar/Gujarati-XLM-R-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashwani-tanwar/Gujarati-XLM-R-Base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashwani-tanwar/Gujarati-XLM-R-Base") model = AutoModelForMaskedLM.from_pretrained("ashwani-tanwar/Gujarati-XLM-R-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1e171c4127501566d3e1830f0711aa9ecb3abe1ad1fc3d9b66b75f647804a63a
- Size of remote file:
- 1.12 GB
- SHA256:
- 647ef57705f4c4c3bb0f2dfea77e4472871c86a4035a878a2e7e41314535cd59
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