Instructions to use subbareddyoota/ltrc-albert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use subbareddyoota/ltrc-albert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="subbareddyoota/ltrc-albert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("subbareddyoota/ltrc-albert") model = AutoModelForMaskedLM.from_pretrained("subbareddyoota/ltrc-albert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26278f0d26e0b76e44fad2b4876da0401f46c5c804883b27f3f98e17eb2f43f9
- Size of remote file:
- 44.9 MB
- SHA256:
- 7c26de8899d7a0db451605a519ab3b2034111cab850954f975945a69f6d1b67f
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