machineuser
Automatic correction of README.md metadata for keys. Contact website@huggingface.co for any question
929fb30
| language: | |
| - ne | |
| thumbnail: | |
| tags: | |
| - roberta | |
| - nepali-laguage-model | |
| license: mit | |
| datasets: | |
| - cc100 | |
| widget: | |
| - text: तिमीलाई कस्तो <mask>? | |
| # nepbert | |
| ## Model description | |
| Roberta trained from scratch on the Nepali CC-100 dataset with 12 million sentences. | |
| ## Intended uses & limitations | |
| #### How to use | |
| ```python | |
| from transformers import pipeline | |
| pipe = pipeline( | |
| "fill-mask", | |
| model="amitness/nepbert", | |
| tokenizer="amitness/nepbert" | |
| ) | |
| print(pipe(u"तिमीलाई कस्तो <mask>?")) | |
| ``` | |
| ## Training data | |
| The data was taken from the nepali language subset of CC-100 dataset. | |
| ## Training procedure | |
| The model was trained on Google Colab using `1x Tesla V100`. |