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
Update optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:90ca094b78ad336e5ed289b1884a443b20de1ec42db7a5f9dfa21fbbfdf20ea5
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size 1918809933
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