Instructions to use subbareddyoota/ltrc-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/ltrc-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/ltrc-roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/ltrc-roberta") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/ltrc-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from subbareddyoota/ltrc-roberta: direct link, hf CLI and curl.
- Browser
- Download file 1.25 kB
-
https://huggingface.co/subbareddyoota/ltrc-roberta/resolve/main/training_args.bin
- Command line
-
hf download hf://subbareddyoota/ltrc-roberta/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/subbareddyoota/ltrc-roberta/resolve/main/training_args.bin
1.25 kB
- Xet hash:
- 6617531c7bf17abb9766c5fbfc2d84c6f7a43b1994e0352250b52a03230670a9
- Size of remote file:
- 1.25 kB
- SHA256:
- be88d8609b60726222608e109bd07807df0626bf87579edd67391ed80aa7b46b
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