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
Update tf_model.h5
Browse files- tf_model.h5 +3 -0
tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:9307a7a580db5a3b8647251cf029b20218bd51a894fd0ab417012d0b084fe9a6
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size 1885418496
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