Instructions to use NbAiLabArchive/test_w8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test_w8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_w8")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_w8") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_w8") - Notebooks
- Google Colab
- Kaggle
| # This script overwrites any existing PyTorch model. Generates a new one with an LM head from the pretrained Flax model. | |
| from transformers import RobertaForMaskedLM | |
| model = RobertaForMaskedLM.from_pretrained(".",from_flax=True) | |
| model.save_pretrained(".") | |