Instructions to use mind22/midm-7b-nsmc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mind22/midm-7b-nsmc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("KT-AI/midm-bitext-S-7B-inst-v1") model = PeftModel.from_pretrained(base_model, "mind22/midm-7b-nsmc") - Notebooks
- Google Colab
- Kaggle
Download midm_bitext_tokenizer.model from mind22/midm-7b-nsmc: direct link, hf CLI and curl.
- Browser
- Download file 1.46 MB
-
https://huggingface.co/mind22/midm-7b-nsmc/resolve/main/midm_bitext_tokenizer.model
- Command line
-
hf download hf://mind22/midm-7b-nsmc/midm_bitext_tokenizer.model
-
curl -L -o midm_bitext_tokenizer.model https://huggingface.co/mind22/midm-7b-nsmc/resolve/main/midm_bitext_tokenizer.model
1.46 MB
- Xet hash:
- 20ca1bb263f8ee7fd87dbb991c0acb8760234c826244ab58049780737f2b01dd
- Size of remote file:
- 1.46 MB
- SHA256:
- 98789fa1bf89a1f9692889fb4a0029d3d096a9109cebf4f6bce1a255f2701378
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