Instructions to use delibae/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delibae/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="delibae/test")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("delibae/test") model = AutoModelForMaskedLM.from_pretrained("delibae/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00e38f00b1dc45c94cd9f161fd79aee4ada4c1018f216bc4f7a0240553b8928e
- Size of remote file:
- 4.66 kB
- SHA256:
- 6dee89dddcd3642f59d5342fbe899095a0da1c2c8324700b1aa68fe09e4f0d52
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