Instructions to use paruwka/lzh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use paruwka/lzh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="paruwka/lzh")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("paruwka/lzh") model = AutoModelForTokenClassification.from_pretrained("paruwka/lzh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfb36edee27830903bf0d947f7a8fee93413c1e4b5675148ccb12268f21b9f9c
- Size of remote file:
- 5.11 kB
- SHA256:
- 38c535a2a51c1e2eddd2a5ccff40043f5832a4abfe6171bbe75efe08f1fc6063
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