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 training_args.bin from subbareddyoota/bert_ltrc_telugu: direct link, hf CLI and curl.
- Browser
- Download file 1.25 kB
-
https://huggingface.co/subbareddyoota/bert_ltrc_telugu/resolve/main/training_args.bin
- Command line
-
hf download hf://subbareddyoota/bert_ltrc_telugu/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/subbareddyoota/bert_ltrc_telugu/resolve/main/training_args.bin
1.25 kB
- Xet hash:
- 28985a05f6bb73a0939a2360a260b27e35aa177d74e62bb45c69bceb5dc5bd9f
- Size of remote file:
- 1.25 kB
- SHA256:
- fe75661a860ed0bea2423c0206ba86fd5e4d08cd04bb1f72a8590db4f22da057
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