Instructions to use subbareddyiiit/TeRobeRta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyiiit/TeRobeRta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyiiit/TeRobeRta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyiiit/TeRobeRta") model = AutoModelForMaskedLM.from_pretrained("subbareddyiiit/TeRobeRta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b004e0ef160b4259295d48a9a69cf8efe9d7c55453008b5a50328bbafaddb5f
- Size of remote file:
- 959 MB
- SHA256:
- e23834d7a75eae0fb3de77d356d56f7d1de7390046b954684832b91d75aa3262
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