# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("lgessler/microbert-tamil-mxp")
model = AutoModel.from_pretrained("lgessler/microbert-tamil-mxp", device_map="auto")Quick Links
This is a MicroBERT model for Tamil.
- Its suffix is -mxp, which means that it was pretrained using supervision from masked language modeling, XPOS tagging, and UD dependency parsing.
- The unlabeled Tamil data was taken from a June 2022 dump of Tamil Wikipedia, downsampled to 1,429,735 tokens.
- The UD treebank UD_Tamil-TTB, v2.9, totaling 9,581 tokens, was used for labeled data.
Please see the repository and the paper for more details.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lgessler/microbert-tamil-mxp")