Instructions to use 8bit-coder/alpaca-7b-nativeEnhanced with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use 8bit-coder/alpaca-7b-nativeEnhanced with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("8bit-coder/alpaca-7b-nativeEnhanced", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download 7B-2nd-train/tokenizer.model from 8bit-coder/alpaca-7b-nativeEnhanced: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/8bit-coder/alpaca-7b-nativeEnhanced/resolve/refs%2Fpr%2F4/7B-2nd-train/tokenizer.model
- Command line
-
hf download hf://8bit-coder/alpaca-7b-nativeEnhanced@refs/pr/4/7B-2nd-train/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/8bit-coder/alpaca-7b-nativeEnhanced/resolve/refs%2Fpr%2F4/7B-2nd-train/tokenizer.model
500 kB
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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