Instructions to use Hmrad/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hmrad/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Hmrad/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Hmrad/dummy-model") model = AutoModelForMaskedLM.from_pretrained("Hmrad/dummy-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34e2f13cbff22fa3115b7d433aeb60621ba1815ceb9f7c0311ced74fffe64e41
- Size of remote file:
- 543 MB
- SHA256:
- 1eea6ab38080c6af4583fb90ef0bba6f1991b1e376c008dba8052fff82b28dd7
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