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
Model_Mask_for_Wayne / runs /Feb17_21-47-53_4a0e74d22b7e /events.out.tfevents.1708206474.4a0e74d22b7e.29041.0
- Xet hash:
- d8d60ac3e35792989b2bf37cc001ef37d43b44ca2eccc6e4acd07873ed125977
- Size of remote file:
- 4.18 kB
- SHA256:
- a09c172d5cab1e551c42b596f614bd7feed4dc6773765ac67a40b76c107062d0
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