Instructions to use lgessler/microbert-tamil-mx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lgessler/microbert-tamil-mx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/microbert-tamil-mx")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lgessler/microbert-tamil-mx") model = AutoModel.from_pretrained("lgessler/microbert-tamil-mx") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:96e709a6ef9e3ec1b68c80d24a4ab53d1dfe2f8786821d6034898d57d1ff0874
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size 6735984
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