Instructions to use imosnoi/it_sn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imosnoi/it_sn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="imosnoi/it_sn")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("imosnoi/it_sn") model = AutoModelForTokenClassification.from_pretrained("imosnoi/it_sn", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from imosnoi/it_sn: direct link, hf CLI and curl.
- Browser
- Download file 451 MB
-
https://huggingface.co/imosnoi/it_sn/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://imosnoi/it_sn/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/imosnoi/it_sn/resolve/main/pytorch_model.bin
451 MB
- Xet hash:
- 8f127eb2f91411a0d8fa2b06234204f9e71a28aecc16240de2ce77d202b575cc
- Size of remote file:
- 451 MB
- SHA256:
- aa741deb162e053d93005db95b4674ea43e943e0fdb5bad7fa179eae739a65ed
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