Instructions to use Shushant/nepaliBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shushant/nepaliBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Shushant/nepaliBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Shushant/nepaliBERT") model = AutoModelForMaskedLM.from_pretrained("Shushant/nepaliBERT") - Notebooks
- Google Colab
- Kaggle
What would be the input to a model ?
#2
by shivam9980 - opened
input to the model, is it textual or speech based . And what would be the output ?
shivam9980 changed discussion status to closed
shivam9980 changed discussion status to open