Instructions to use Kicel/sparse_imdb_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kicel/sparse_imdb_classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("FacebookAI/xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "Kicel/sparse_imdb_classifier") - Transformers
How to use Kicel/sparse_imdb_classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kicel/sparse_imdb_classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8a7fca00738580709b4caf58260a5f452c3255a4257f37a01826d299ef32e93
- Size of remote file:
- 5.84 kB
- SHA256:
- 11abb336b55de36aff258c9d5729aeb90d72a5e219da6432f09764d77dcfa7ed
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