Instructions to use Kalindu/SinBerto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kalindu/SinBerto with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kalindu/SinBerto")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kalindu/SinBerto") model = AutoModelForMaskedLM.from_pretrained("Kalindu/SinBerto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download merges.txt from Kalindu/SinBerto: direct link, hf CLI and curl.
- Browser
- Download file 979 kB
-
https://huggingface.co/Kalindu/SinBerto/resolve/main/merges.txt
- Command line
-
hf download hf://Kalindu/SinBerto/merges.txt
-
curl -L -o merges.txt https://huggingface.co/Kalindu/SinBerto/resolve/main/merges.txt
979 kB
File too large to display, you can check the raw version instead.