Instructions to use kumarprashant556/checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumarprashant556/checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kumarprashant556/checkpoints") model = AutoModelForSeq2SeqLM.from_pretrained("kumarprashant556/checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from kumarprashant556/checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 199 Bytes
-
https://huggingface.co/kumarprashant556/checkpoints/resolve/refs%2Fpr%2F1/tokenizer_config.json
- Command line
-
hf download hf://kumarprashant556/checkpoints@refs/pr/1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/kumarprashant556/checkpoints/resolve/refs%2Fpr%2F1/tokenizer_config.json
199 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>" | |
| } | |