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:
- f3f98dafb3fb6b1e43f4fef759caf97975bac90407a34fd1aed667fee8cc7c35
- Size of remote file:
- 744 MB
- SHA256:
- d470d8aa19eefaaf90a9bebc1ea0c69c437a5632137ee43798624e44eb996ce4
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