Instructions to use N8Programs/NextTerm-440M-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N8Programs/NextTerm-440M-Checkpoints with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("N8Programs/NextTerm-440M-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoints/checkpoint_tokens_012000258345/tokenizer_config.json from N8Programs/NextTerm-440M-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 783 Bytes
-
https://huggingface.co/N8Programs/NextTerm-440M-Checkpoints/resolve/main/checkpoints/checkpoint_tokens_012000258345/tokenizer_config.json
- Command line
-
hf download hf://N8Programs/NextTerm-440M-Checkpoints/checkpoints/checkpoint_tokens_012000258345/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/N8Programs/NextTerm-440M-Checkpoints/resolve/main/checkpoints/checkpoint_tokens_012000258345/tokenizer_config.json
783 Bytes
| { | |
| "added_tokens_decoder": { | |
| "12": { | |
| "content": "<bos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "13": { | |
| "content": "<eos>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "14": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<bos>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<eos>", | |
| "extra_special_tokens": {}, | |
| "model_max_length": 40960, | |
| "pad_token": "<pad>", | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<pad>" | |
| } | |