Instructions to use Hailay/TigRoberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Hailay/TigRoberta with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("Hailay/TigRoberta", set_active=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse filesHere is how to use this model to get the features of a given text in PyTorch:
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained('Hailay/TigRoberta')
model = AutoModelForMaskedLM.from_pretrained("Hailay/TigRoberta")
# prepare input
text = "Replace me by any text you'd like."
encoded_input = tokenizer(text, return_tensors='pt')
# forward pass
output = model(**encoded_input)