Instructions to use imosnoi/ro_fac200_v98 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imosnoi/ro_fac200_v98 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="imosnoi/ro_fac200_v98")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("imosnoi/ro_fac200_v98") model = AutoModelForTokenClassification.from_pretrained("imosnoi/ro_fac200_v98", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from imosnoi/ro_fac200_v98: direct link, hf CLI and curl.
- Browser
- Download file 451 MB
-
https://huggingface.co/imosnoi/ro_fac200_v98/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://imosnoi/ro_fac200_v98/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/imosnoi/ro_fac200_v98/resolve/main/pytorch_model.bin
451 MB
- Xet hash:
- 9ac3a878cd4576b6037d9bdd35baf8ba2a70ebe9c6aeaa6dbf2101aa86d99f4c
- Size of remote file:
- 451 MB
- SHA256:
- 221a063922fd9028407af20a258ef136213a213632c2eeaccf96f87bdef9ca45
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