Instructions to use HachiML/Swallow-MS-7b-spin-iter1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HachiML/Swallow-MS-7b-spin-iter1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("HachiML/Swallow-MS-7b-instruct-v0.1") model = PeftModel.from_pretrained(base_model, "HachiML/Swallow-MS-7b-spin-iter1") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from HachiML/Swallow-MS-7b-spin-iter1: direct link, hf CLI and curl.
- Browser
- Download file 903 kB
-
https://huggingface.co/HachiML/Swallow-MS-7b-spin-iter1/resolve/main/tokenizer.model
- Command line
-
hf download hf://HachiML/Swallow-MS-7b-spin-iter1/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/HachiML/Swallow-MS-7b-spin-iter1/resolve/main/tokenizer.model
903 kB
- Xet hash:
- f28e31bfcb75d5d54ed3cd9597a1f3558bebff49619b6c2a032aa25662d5674f
- Size of remote file:
- 903 kB
- SHA256:
- 6239e68e91d052426ceac4b17aadca42c34f5b2067caee6b67d42105742c1f16
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