Instructions to use language-ml-lab/postagger-azb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use language-ml-lab/postagger-azb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="language-ml-lab/postagger-azb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("language-ml-lab/postagger-azb") model = AutoModelForTokenClassification.from_pretrained("language-ml-lab/postagger-azb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from language-ml-lab/postagger-azb: direct link, hf CLI and curl.
- Browser
- Download file 371 MB
-
https://huggingface.co/language-ml-lab/postagger-azb/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://language-ml-lab/postagger-azb/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/language-ml-lab/postagger-azb/resolve/main/pytorch_model.bin
371 MB
- Xet hash:
- 3994ed6f00b7fb1ad514e1d2c5562c1450e92684f6fec55c71656a23d1808a58
- Size of remote file:
- 371 MB
- SHA256:
- 6a95c86f6776bbf2a7cbf2b2855e21d14f05a86715e2c982481f493ffc9d466c
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