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:
- f34ff29e984660d090b9e9828868a647743f2e3309657d4eb3674be550bb93cb
- Size of remote file:
- 2.8 kB
- SHA256:
- e400e663b7f67aadfb2815e255927a2d6e17765897a960c972b13851365792db
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