Instructions to use subbareddyoota/roberta_ltrc_telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/roberta_ltrc_telugu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/roberta_ltrc_telugu")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/roberta_ltrc_telugu") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/roberta_ltrc_telugu") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f16c60246c303f4c9bfa7e45c25315458c2f27e4c6d5ea3b86f45f0531b6681
- Size of remote file:
- 1.27 kB
- SHA256:
- ecf430b8a9941192fb3ed64aa7432cbd228be999afb3c4144f5541a32174afc5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.