Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Hrishith123/Telugu-Distilbert-base-Multilingual-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hrishith123/Telugu-Distilbert-base-Multilingual-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hrishith123/Telugu-Distilbert-base-Multilingual-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hrishith123/Telugu-Distilbert-base-Multilingual-uncased") model = AutoModelForSequenceClassification.from_pretrained("Hrishith123/Telugu-Distilbert-base-Multilingual-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
runs/Apr28_08-39-57_r-hrishith123-telugu-sentiment-tylpwrxi-42ab2-7aag2/events.out.tfevents.1714293598.r-hrishith123-telugu-sentiment-tylpwrxi-42ab2-7aag2.86.0
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