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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/bert_ltrc_telugu") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/bert_ltrc_telugu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from subbareddyoota/bert_ltrc_telugu: direct link, hf CLI and curl.
- Browser
- Download file 867 MB
-
https://huggingface.co/subbareddyoota/bert_ltrc_telugu/resolve/main/optimizer.pt
- Command line
-
hf download hf://subbareddyoota/bert_ltrc_telugu/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/subbareddyoota/bert_ltrc_telugu/resolve/main/optimizer.pt
867 MB
- Xet hash:
- b44e6f41f24377c7c1594bd95a41f9f1180d0b11ae9f5d5d2c19a45d98f0d838
- Size of remote file:
- 867 MB
- SHA256:
- 2f42672affe2034443386e3d463b79e96d69ead6d76831b5da501a123698e057
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