Text Classification
Transformers
PyTorch
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use dipteshkanojia/hing-roberta-CM-run-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipteshkanojia/hing-roberta-CM-run-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipteshkanojia/hing-roberta-CM-run-4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipteshkanojia/hing-roberta-CM-run-4") model = AutoModelForSequenceClassification.from_pretrained("dipteshkanojia/hing-roberta-CM-run-4") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 5 months ago
by
SFconvertbot