Instructions to use efederici/bertflow-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use efederici/bertflow-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="efederici/bertflow-it")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/bertflow-it") model = AutoModel.from_pretrained("efederici/bertflow-it") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb5d5aff97b9ebd06851fa08f01064580a857cc9b17786220fbfb5618d72455e
- Size of remote file:
- 9.94 MB
- SHA256:
- 2a4057d9869ea9616ba7650a9a5725cb31e0d351790183589e632f1639db5e2b
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