Instructions to use leetdavid/importance_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leetdavid/importance_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leetdavid/importance_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leetdavid/importance_model") model = AutoModelForSequenceClassification.from_pretrained("leetdavid/importance_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (f6686f07f80d1424cd7f498caaa903bef6d36cf5) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>9733783
-
add model
85c22a2
-
add model
d9b8d30
-
add model
c46ab95 -
initial commit
4ea2f27