Instructions to use CodeIsAbstract/HybridModelScratch_lightn_Conti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/HybridModelScratch_lightn_Conti with Transformers:
# Load model directly from transformers import HybridFourierLM model = HybridFourierLM.from_pretrained("CodeIsAbstract/HybridModelScratch_lightn_Conti", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download best_model_streaming/tokenizer_config.json from CodeIsAbstract/HybridModelScratch_lightn_Conti: direct link, hf CLI and curl.
- Browser
- Download file 357 Bytes
-
https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/best_model_streaming/tokenizer_config.json
- Command line
-
hf download hf://CodeIsAbstract/HybridModelScratch_lightn_Conti/best_model_streaming/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/CodeIsAbstract/HybridModelScratch_lightn_Conti/resolve/main/best_model_streaming/tokenizer_config.json
357 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<|endoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 1000000000, | |
| "pad_token": "<|padding|>", | |
| "tokenizer_class": "GPTNeoXTokenizer", | |
| "trim_offsets": true, | |
| "unk_token": "<|endoftext|>" | |
| } | |