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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("efederici/bertflow-it") model = AutoModel.from_pretrained("efederici/bertflow-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from efederici/bertflow-it: direct link, hf CLI and curl.
- Browser
- Download file 732 kB
-
https://huggingface.co/efederici/bertflow-it/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
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hf download hf://efederici/bertflow-it@refs/pr/1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/efederici/bertflow-it/resolve/refs%2Fpr%2F1/tokenizer.json
732 kB
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