Instructions to use yossir/ber4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yossir/ber4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yossir/ber4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yossir/ber4") model = AutoModelForSequenceClassification.from_pretrained("yossir/ber4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e7a53f6d0b70592baf5188298e20eeba2579bacfec31308df4ebec2e25f7037c
- Size of remote file:
- 744 MB
- SHA256:
- d607db252ed5dbfe6f53cd5b6f6579eacfe662f9012e17a397fc3ed91e221e13
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