Instructions to use cadena45564/cadena with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cadena45564/cadena with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="cadena45564/cadena")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("cadena45564/cadena", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download rl/tokenizer.json from cadena45564/cadena: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/cadena45564/cadena/resolve/main/rl/tokenizer.json
- Command line
-
hf download hf://cadena45564/cadena/rl/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cadena45564/cadena/resolve/main/rl/tokenizer.json
11.4 MB
- Xet hash:
- 47f88c16dc1b279edef7550d17fa1089b88c3bec018ec466aced15a12a98259a
- Size of remote file:
- 11.4 MB
- SHA256:
- 88a3a6fcb80132f76da8aa40cdc3fccd7e5d8468ef15421f5b0c2715e85217d2
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