Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use DeadBeast/emoBERTTamil with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeadBeast/emoBERTTamil with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DeadBeast/emoBERTTamil")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DeadBeast/emoBERTTamil") model = AutoModelForSequenceClassification.from_pretrained("DeadBeast/emoBERTTamil", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ef2124a9e44c7659e72af00ccb9a431bf6b10245dc4c4d9f2c96288ca27d820
- Size of remote file:
- 438 MB
- SHA256:
- 7e0d1e5c1108b432d901cd8bf72e4eaf614845b816e56a1d9df42a1da51cbdee
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