Token Classification
Transformers
PyTorch
Safetensors
Italian
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use nickprock/bert-italian-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nickprock/bert-italian-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nickprock/bert-italian-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nickprock/bert-italian-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("nickprock/bert-italian-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from nickprock/bert-italian-finetuned-ner: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/nickprock/bert-italian-finetuned-ner/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://nickprock/bert-italian-finetuned-ner/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nickprock/bert-italian-finetuned-ner/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- ebd4379b205d4f4f6bf12497da09cc97622c67eb4de037cd6bbb9d5396be197d
- Size of remote file:
- 438 MB
- SHA256:
- 4de5725ac7929bc49329a4dd6e43513d20b5c6b03beda6285b38275c86aaf6e3
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