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
Fix: Add newline to fix SyntaxError in example code
1
#4 opened 11 months ago
by
anon-repair-bot
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
What would be the input to a model ?
#2 opened over 2 years ago
by
shivam9980
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot