Instructions to use recogna-nlp/doutor-bode-7b-240k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use recogna-nlp/doutor-bode-7b-240k with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("recogna-nlp/internlm-chatbode-7b") model = PeftModel.from_pretrained(base_model, "recogna-nlp/doutor-bode-7b-240k") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from recogna-nlp/doutor-bode-7b-240k: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/recogna-nlp/doutor-bode-7b-240k/resolve/main/adapter_model.bin
- Command line
-
hf download hf://recogna-nlp/doutor-bode-7b-240k/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/recogna-nlp/doutor-bode-7b-240k/resolve/main/adapter_model.bin
1.26 GB
- Xet hash:
- 3e2ddbb0454fc5414484ed65df8c15714aa121b47a87c35461ee73a7d00e157e
- Size of remote file:
- 1.26 GB
- SHA256:
- 3509f7e183dde432069a96aeb6d77703b33228dede52f6c2212c4d6082febcae
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