Instructions to use NbAiLabArchive/test_w7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test_w7 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test_w7")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test_w7") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test_w7") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 272fc766f8ec618179235831b43d04aa76edf6645ccaf8d2e0b5d2c1a6165bae
- Size of remote file:
- 499 MB
- SHA256:
- 62500341794c1c60d3782f50413107c0d01f1f81b0406bf736c26c97025ec3a4
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