Instructions to use CodeLifeCL/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeLifeCL/dummy-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CodeLifeCL/dummy-model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("CodeLifeCL/dummy-model") model = AutoModelForMaskedLM.from_pretrained("CodeLifeCL/dummy-model") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
2cc7415 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2785d2e45752c5c93021cd3277207734dee67409ca1c6c98da4f6b9d709a5cec
size 442646188
|