Instructions to use Fabchi/Model_Mask_for_Wayne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fabchi/Model_Mask_for_Wayne with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Fabchi/Model_Mask_for_Wayne")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Fabchi/Model_Mask_for_Wayne") model = AutoModelForMaskedLM.from_pretrained("Fabchi/Model_Mask_for_Wayne", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf6d7b7d270d7aa9c6951b7440c4cfd87773dbcecf179189bf8c01d322fe128f
- Size of remote file:
- 4.6 kB
- SHA256:
- dd11997518d67eca16d36a1fca7f3df72c99781656c6a9ced77d17a97345279a
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