Instructions to use subbareddyoota/bert_ltrc_telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/bert_ltrc_telugu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/bert_ltrc_telugu")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/bert_ltrc_telugu") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/bert_ltrc_telugu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9419948a0cb933a9511d289cda2646ad5d08c25509ead15dbc293076424d31c8
- Size of remote file:
- 433 MB
- SHA256:
- 233cffde03c1140bb74d5f019daf6e088e9a1abf0c43153844900019848385a6
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