Instructions to use ABHIiiii1/bert-base-mm-awesomeAlignIndic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ABHIiiii1/bert-base-mm-awesomeAlignIndic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ABHIiiii1/bert-base-mm-awesomeAlignIndic")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ABHIiiii1/bert-base-mm-awesomeAlignIndic") model = AutoModelForMaskedLM.from_pretrained("ABHIiiii1/bert-base-mm-awesomeAlignIndic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f5bdb58f582d82a423f83cdf2b4fdacdc2a0d51aba89b717ec9294611240698
- Size of remote file:
- 712 MB
- SHA256:
- 0c3cedbcf7b1f521653103d4a103a5c4f9105eecf2b0af7c3e72ccbc6496ca3f
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