Image-to-Text
Transformers
Safetensors
Chinese
ananda
text-generation
ocr
htr
vision-language-model
historical-documents
chinese
classical-chinese
custom_code
Instructions to use badianeai/AnandaSky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use badianeai/AnandaSky 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="badianeai/AnandaSky", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("badianeai/AnandaSky", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from badianeai/AnandaSky: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/badianeai/AnandaSky/resolve/main/tokenizer.json
- Command line
-
hf download hf://badianeai/AnandaSky/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/badianeai/AnandaSky/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 693ec4b3922b0bd306bf7b4989e115ffbfeb7b0c08b31bc6d956818c6bb07f61
- Size of remote file:
- 11.4 MB
- SHA256:
- aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
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