Instructions to use ishathombre/monolingual-hindi-from-scratch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ishathombre/monolingual-hindi-from-scratch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ishathombre/monolingual-hindi-from-scratch")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ishathombre/monolingual-hindi-from-scratch") model = AutoModelForMaskedLM.from_pretrained("ishathombre/monolingual-hindi-from-scratch") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a4c79b6b168e26ce7469802c8fe306f0d7b70a8dd682316740aa9708b20dea9
- Size of remote file:
- 14.2 kB
- SHA256:
- 50d5b29546e75091c3f7e6c0e063fb2f2b6ba4e2c846ad670e85631b25e5954f
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