Instructions to use lysandre/tiny-bert-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lysandre/tiny-bert-random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("lysandre/tiny-bert-random") model = AutoModelForPreTraining.from_pretrained("lysandre/tiny-bert-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from lysandre/tiny-bert-random: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
-
https://huggingface.co/lysandre/tiny-bert-random/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://lysandre/tiny-bert-random/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/lysandre/tiny-bert-random/resolve/main/tokenizer_config.json
172 Bytes
| {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 512, "name_or_path": "bert-base-cased"} |