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 tokenizer.json from Hayloo9838/uno-recognizer: direct link, hf CLI and curl.
- Browser
- Download file 444 Bytes
-
https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/tokenizer.json
- Command line
-
hf download hf://Hayloo9838/uno-recognizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Hayloo9838/uno-recognizer/resolve/main/tokenizer.json
444 Bytes
| { | |
| "version": "1.0", | |
| "truncation": null, | |
| "padding": null, | |
| "added_tokens": [ | |
| ], | |
| "normalizer": null, | |
| "pre_tokenizer": { | |
| "type": "Whitespace" | |
| }, | |
| "post_processor": null, | |
| "decoder": null, | |
| "model": { | |
| "type": "WordPiece", | |
| "unk_token": "[UNK]", | |
| "continuing_subword_prefix": "##", | |
| "max_input_chars_per_word": 100, | |
| "vocab": { | |
| "[PAD]": 0, | |
| "[UNK]": 1, | |
| "[CLS]": 2, | |
| "[SEP]": 3 | |
| } | |
| } | |
| } |