Instructions to use kktoto/wwdd_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kktoto/wwdd_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="kktoto/wwdd_tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("kktoto/wwdd_tiny") model = AutoModelForTokenClassification.from_pretrained("kktoto/wwdd_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from kktoto/wwdd_tiny: direct link, hf CLI and curl.
- Browser
- Download file 45.3 MB
-
https://huggingface.co/kktoto/wwdd_tiny/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://kktoto/wwdd_tiny/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/kktoto/wwdd_tiny/resolve/main/pytorch_model.bin
45.3 MB
- Xet hash:
- 44e868ff8ee35a0d62ce385ea9d70b431529321c38eed5e7db4fbb7f57274f4a
- Size of remote file:
- 45.3 MB
- SHA256:
- 656eba4451d4bc7a93ba975a44a778ea17d13e7b963ae9c393e04692194af45e
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