Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use luluw/Roberta-devangari-script-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use luluw/Roberta-devangari-script-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="luluw/Roberta-devangari-script-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("luluw/Roberta-devangari-script-classification") model = AutoModelForSequenceClassification.from_pretrained("luluw/Roberta-devangari-script-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1876aa584241004a5cce3abd32b9639c366411c4efcac2a7ed671ea14a450ea9
- Size of remote file:
- 499 MB
- SHA256:
- eddf2aa6bad7d62ce315af9b0e0e2b02e07609657bee4770d823ec3ec111d4a4
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