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:
- a578b2c3e8c2fc367a5e297aaaf66f712279f6a0c42bd3b8ea004a4df283dbfc
- Size of remote file:
- 3.45 kB
- SHA256:
- 8f227cfa191ae4f1b52a2163e818efe7f0702b1aa26cf74d47a948eeaffea679
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