Instructions to use acmc/satisfaction_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acmc/satisfaction_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("acmc/satisfaction_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f565dd0a96ab2115b5147543d0dd4d78ac4b397a80d027687a604c5eb7fd1a26
- Size of remote file:
- 5.11 kB
- SHA256:
- de1f97b744cf9dce59db214a8733a2ebf09213e5acf34a097abdfbafb95c784e
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