Instructions to use NbAiLabArchive/test999 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/test999 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NbAiLabArchive/test999")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NbAiLabArchive/test999") model = AutoModelForMaskedLM.from_pretrained("NbAiLabArchive/test999") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d32802a8ca059ad18b23aa01721c3e7836215b8873bf923a79a5901716bbec5
- Size of remote file:
- 1.11 GB
- SHA256:
- 3f964effa896aee4a06a07e0d98326fd2adf0b5a712024992d978987e07cd242
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