Instructions to use eliasedwin7/MalayalamBERTo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eliasedwin7/MalayalamBERTo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eliasedwin7/MalayalamBERTo")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eliasedwin7/MalayalamBERTo") model = AutoModelForMaskedLM.from_pretrained("eliasedwin7/MalayalamBERTo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 817fa15c3ca0ea2e1bc3dc758aab752fcbfbe2f58fd31fc4ad9a1c2b7d055fe6
- Size of remote file:
- 334 MB
- SHA256:
- b3f720517a461e08b617356d3953f8ce4f0b43bf50e2096a992cc976b899ed8b
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