Instructions to use N8Programs/arc-tiny-transformer-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N8Programs/arc-tiny-transformer-models with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("N8Programs/arc-tiny-transformer-models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download 7m-3.4b/tokenizer_config.json from N8Programs/arc-tiny-transformer-models: direct link, hf CLI and curl.
- Browser
- Download file 334 Bytes
-
https://huggingface.co/N8Programs/arc-tiny-transformer-models/resolve/main/7m-3.4b/tokenizer_config.json
- Command line
-
hf download hf://N8Programs/arc-tiny-transformer-models/7m-3.4b/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/N8Programs/arc-tiny-transformer-models/resolve/main/7m-3.4b/tokenizer_config.json
334 Bytes
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "bos_token": "<BOS>", | |
| "eos_token": "<EOS>", | |
| "pad_token": "<PAD>", | |
| "additional_special_tokens": [ | |
| "<BEGIN_GRID>", | |
| "<END_GRID>", | |
| "<BEGIN_ROW>", | |
| "<END_ROW>", | |
| "<INPUT>", | |
| "<OUTPUT>" | |
| ], | |
| "model_max_length": 16384, | |
| "clean_up_tokenization_spaces": false | |
| } |