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 classifier_metadata.json from chris0809/memoperator-0.6b-memory-write-gate: direct link, hf CLI and curl.
- Browser
- Download file 154 Bytes
-
https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/classifier_metadata.json
- Command line
-
hf download hf://chris0809/memoperator-0.6b-memory-write-gate/classifier_metadata.json
-
curl -L -o classifier_metadata.json https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/classifier_metadata.json
154 Bytes
| { | |
| "threshold": 0.690976, | |
| "labels": { | |
| "0": "SKIP", | |
| "1": "SAVE" | |
| }, | |
| "max_length": 256, | |
| "base_model": "MemTensor/MemOperator-0.6B" | |
| } |