Instructions to use mertllc/base_ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mertllc/base_ckpt with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("mertllc/base_ckpt") model = AutoModelForPreTraining.from_pretrained("mertllc/base_ckpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from mertllc/base_ckpt: direct link, hf CLI and curl.
- Browser
- Download file 670 Bytes
-
https://huggingface.co/mertllc/base_ckpt/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://mertllc/base_ckpt/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/mertllc/base_ckpt/resolve/main/tokenizer_config.json
670 Bytes
| { | |
| "add_blank": true, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "d", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "43": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "clean_up_tokenization_spaces": true, | |
| "is_uroman": false, | |
| "language": "tur", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "normalize": true, | |
| "pad_token": "d", | |
| "phonemize": false, | |
| "tokenizer_class": "VitsTokenizer", | |
| "unk_token": "<unk>", | |
| "verbose": false | |
| } | |