Instructions to use zhangchen1991/fined-dailydialog-coherence with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zhangchen1991/fined-dailydialog-coherence with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zhangchen1991/fined-dailydialog-coherence")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zhangchen1991/fined-dailydialog-coherence") model = AutoModelForMaskedLM.from_pretrained("zhangchen1991/fined-dailydialog-coherence") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e22ee303b0bca01b3d1ca7649942996820f6d3a3614ac83cdac1fac18c6e73f
- Size of remote file:
- 496 MB
- SHA256:
- 61a4c8e92add1d4662adbc61c4b87fa8bd41fa409c5cef29c2e2c45c12965561
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