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ALBERT-base-Sanskrit

Explaination Notebook Colab: SanskritALBERT.ipynb

Size of the model is 46MB

Example of usage:

tokenizer = AutoTokenizer.from_pretrained("surajp/albert-base-sanskrit")
model = AutoModel.from_pretrained("surajp/albert-base-sanskrit")

enc=tokenizer.encode("ॐ सर्वे भवन्तु सुखिनः सर्वे सन्तु निरामयाः । सर्वे भद्राणि पश्यन्तु मा कश्चिद्दुःखभाग्भवेत् । ॐ शान्तिः शान्तिः शान्तिः ॥")
print(tokenizer.decode(enc))

ps = model(torch.tensor(enc).unsqueeze(1))
print(ps[0].shape)
'''
Output:
--------
[CLS] ॐ सर्वे भवन्तु सुखिनः सर्वे सन्तु निरामयाः । सर्वे भद्राणि पश्यन्तु मा कश्चिद्दुःखभाग्भवेत् । ॐ शान्तिः शान्तिः शान्तिः ॥[SEP]
torch.Size([28, 1, 768])

Created by Suraj Parmar/@parmarsuraj99

Made with in India

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