Fill-Mask
Transformers
Safetensors
Hindi
English
hindi
xlm-roberta
knowledge-distillation
masked-language-modeling
model-compression
edge-deployment
Instructions to use kkkamur07/hindi-xlm-roberta-33M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkkamur07/hindi-xlm-roberta-33M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kkkamur07/hindi-xlm-roberta-33M")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("kkkamur07/hindi-xlm-roberta-33M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Gated model You can list files but not access them
Preview of files found in this repository