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:
- 42cf3fa87fac946c03a3ab50c1611210f290160870c82147b4cfb2b6496c5c3f
- Size of remote file:
- 988 Bytes
- SHA256:
- 4ba2d9861718463ff7bd6d73f6b23628ebc78b5e0f737da9d01a6bf436bebb71
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