Instructions to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88: direct link, hf CLI and curl.
- Browser
- Download file 14.4 MB
-
https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nhungphammmmm/35e3e014-4bcd-4283-9e72-2a9d29a54d88/resolve/main/adapter_model.bin
14.4 MB
- Xet hash:
- a03102e1733f5491e336fde63459592e5edd84efe2fcdb7ba6d320c20582306b
- Size of remote file:
- 14.4 MB
- SHA256:
- 85769ae61cbca4f2574ae69dda2cb4143b64811fd8151afa26482cf023a699c0
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