Instructions to use Hayloo9838/uno-recognizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hayloo9838/uno-recognizer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Hayloo9838/uno-recognizer") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Hayloo9838/uno-recognizer") model = AutoModel.from_pretrained("Hayloo9838/uno-recognizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from Hayloo9838/uno-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 389 Bytes
-
https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Hayloo9838/uno-recognizer/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/special_tokens_map.json
389 Bytes
| {"bos_token": {"content": "<|startoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": "<|endoftext|>"} |