Instructions to use nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("EleutherAI/pythia-410m-deduped") model = PeftModel.from_pretrained(base_model, "nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a: direct link, hf CLI and curl.
- Browser
- Download file 12.7 MB
-
https://huggingface.co/nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/resolve/main/adapter_model.bin
- Command line
-
hf download hf://nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/nhungphammmmm/d5afbbd7-d923-4ac6-9320-9979c989e17a/resolve/main/adapter_model.bin
12.7 MB
- Xet hash:
- c5c3aa62ef0cbbba54397f406ad52556151ae0b77bd5f257b7ca6dc527e4d0db
- Size of remote file:
- 12.7 MB
- SHA256:
- a0a2cf82b743e43c106c279cf2253b5064a725ee05764e93ce23ea42c7efe75e
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