Instructions to use yossir/ber3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yossir/ber3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yossir/ber3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yossir/ber3") model = AutoModelForSequenceClassification.from_pretrained("yossir/ber3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- caf0abc43e40f9408147f1f354eae414bcacc856f423c20e8e4f2fa6b629dcff
- Size of remote file:
- 3.45 kB
- SHA256:
- e725d1d0c43b761eb36a0f2be0f67c071adb5faa4bd10737442d0abb69a56b47
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