Instructions to use chris0809/memoperator-0.6b-memory-write-gate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chris0809/memoperator-0.6b-memory-write-gate with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("MemTensor/MemOperator-0.6B") model = PeftModel.from_pretrained(base_model, "chris0809/memoperator-0.6b-memory-write-gate") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from chris0809/memoperator-0.6b-memory-write-gate: direct link, hf CLI and curl.
- Browser
- Download file 421 Bytes
-
https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://chris0809/memoperator-0.6b-memory-write-gate/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/tokenizer_config.json
421 Bytes
| { | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": null, | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<|im_end|>", | |
| "errors": "replace", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "model_max_length": 131072, | |
| "pad_token": "<|endoftext|>", | |
| "padding_side": "right", | |
| "split_special_tokens": false, | |
| "tokenizer_class": "Qwen2Tokenizer", | |
| "unk_token": null | |
| } | |