Instructions to use shafin/testc8-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shafin/testc8-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="shafin/testc8-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("shafin/testc8-2") model = AutoModelForMaskedLM.from_pretrained("shafin/testc8-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12832c4dfd1196e4118df488e9d781f6b4faabdee3927df87c0dae89252a2498
- Size of remote file:
- 3.38 kB
- SHA256:
- 0cfd4661bee80f966a3cf60075e84490c6819c19af3c493956617bdcf1b05119
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