Instructions to use joey234/cuenb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joey234/cuenb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joey234/cuenb")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joey234/cuenb") model = AutoModelForMaskedLM.from_pretrained("joey234/cuenb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b5df69bec9a2763519a3c4cf9911e136a4d42b5f91481384aed6267339c3eac
- Size of remote file:
- 499 MB
- SHA256:
- 5492a1f29ea154dd26217f60614c614cc1cdb3f5c1d4385a9b289d58c6a1a769
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