Instructions to use GozdeA/finetuned-bertweet-poskd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GozdeA/finetuned-bertweet-poskd3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GozdeA/finetuned-bertweet-poskd3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GozdeA/finetuned-bertweet-poskd3") model = AutoModelForTokenClassification.from_pretrained("GozdeA/finetuned-bertweet-poskd3") - Notebooks
- Google Colab
- Kaggle
TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture
#1 opened about 1 month ago
by
vigneshwar234