Instructions to use nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("fxmarty/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237: direct link, hf CLI and curl.
- Browser
- Download file 14.7 kB
-
https://huggingface.co/nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237/resolve/4e35c2fda9feb685c6e0eb5dde9305d637e6af28/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237@4e35c2fda9feb685c6e0eb5dde9305d637e6af28/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/nttx/4e65dfe5-e77f-42e6-9a9f-bd0dba0b0237/resolve/4e35c2fda9feb685c6e0eb5dde9305d637e6af28/last-checkpoint/adapter_model.safetensors
14.7 kB
- Xet hash:
- c83a4ede8b7969047373073c21bbdfbf9c5d9dd1256be462050794f34d2bf3d7
- Size of remote file:
- 14.7 kB
- SHA256:
- 7350d1b2818baa194908d604eef7d306d0bfda5a977b25f0ba8f3ee19c68e643
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