Instructions to use kktoto/tiny_lr_kk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/tiny_lr_kk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/tiny_lr_kk")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/tiny_lr_kk") model = AutoModelForTokenClassification.from_pretrained("kktoto/tiny_lr_kk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/tiny_lr_kk: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/tiny_lr_kk/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/tiny_lr_kk/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/tiny_lr_kk/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- f795273709bae8871bc22bd1ca12afa0224da903f3d3074fbe6ad15056f086eb
- Size of remote file:
- 45.3 MB
- SHA256:
- 107cfe3a7851ef33ab12e37d96db1660f5011cec79d39ce8eebdd1f792ff1198
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