Instructions to use karimimanesh/fruits_reverse_dictionary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karimimanesh/fruits_reverse_dictionary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="karimimanesh/fruits_reverse_dictionary")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("karimimanesh/fruits_reverse_dictionary") model = AutoModelForMaskedLM.from_pretrained("karimimanesh/fruits_reverse_dictionary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e128bd1370d5d4a69bfeba24a46d0a4b3dcc619646ab5b0b00e71ac71c9b996b
- Size of remote file:
- 652 MB
- SHA256:
- 24449ca6253d8f765e603f54426a78dc3ad23920743b3ed6e695348cb4e30a10
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