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.json from chris0809/memoperator-0.6b-memory-write-gate: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/tokenizer.json
- Command line
-
hf download hf://chris0809/memoperator-0.6b-memory-write-gate/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/chris0809/memoperator-0.6b-memory-write-gate/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- bf9a2c4b71607e68f6dacdb1bae0526ea367c0d26e3adcff09c4c1c2c035efff
- Size of remote file:
- 11.4 MB
- SHA256:
- c7ec78c5875702749a11dee5ba04d114c85e67036bb7e692a1d7a35c78a98417
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