Instructions to use jusgowiturs/Tamil_Bert_L3_Cube_Relative_Position with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jusgowiturs/Tamil_Bert_L3_Cube_Relative_Position with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jusgowiturs/Tamil_Bert_L3_Cube_Relative_Position")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jusgowiturs/Tamil_Bert_L3_Cube_Relative_Position") model = AutoModelForSequenceClassification.from_pretrained("jusgowiturs/Tamil_Bert_L3_Cube_Relative_Position") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:c40794335d8b0ecf1da1cb68a83093acad6d336ee30751c2c50ddb5ac55f8066
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size 950286468
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