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:
- f7f1a3c5f6ec03337d5c36d01e77f0b3bd9aab889f167e9f4a035349407817fc
- Size of remote file:
- 3.45 kB
- SHA256:
- f7b101ee7e87b03e90796415ebf064d2bbfa3752fb6254f8907ddfc7ca9fda60
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