Instructions to use q-future/q-align-ft-ytugc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use q-future/q-align-ft-ytugc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="q-future/q-align-ft-ytugc", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("q-future/q-align-ft-ytugc", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 136a00b66222159d2adda6116776079344ac0fc2cfa7553fc5cd79d445a329ae
- Size of remote file:
- 6.14 kB
- SHA256:
- 3cee5ee77577632e912632b8c016c72f59b3f1f62f362f025179ef14a0525851
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