Instructions to use Jeevesh8/lecun_feather_berts-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jeevesh8/lecun_feather_berts-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jeevesh8/lecun_feather_berts-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jeevesh8/lecun_feather_berts-21") model = AutoModelForSequenceClassification.from_pretrained("Jeevesh8/lecun_feather_berts-21") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b93d103365c8271b82e4aeefb483cb5d1f2f5d56a63c6cb072629df92dadff08
- Size of remote file:
- 438 MB
- SHA256:
- 22f179eb6679b2e7d78e56492cf876664379cb2f0a1821502c8023114d64d243
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