Instructions to use yossir/ber2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yossir/ber2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yossir/ber2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yossir/ber2") model = AutoModelForSequenceClassification.from_pretrained("yossir/ber2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d2e001c111d81824a254da58e04cfb39a680e13c980d1321cc5d6bb3546f29d6
- Size of remote file:
- 744 MB
- SHA256:
- e61b099892ad8989e208ffe25beeac4a8ad9b813c849baaa47538eff76565cb0
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