Instructions to use VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("JackFram/llama-160m") model = PeftModel.from_pretrained(base_model, "VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/adapter_model.safetensors from VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b: direct link, hf CLI and curl.
- Browser
- Download file 6.8 MB
-
https://huggingface.co/VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/resolve/main/last-checkpoint/adapter_model.safetensors
- Command line
-
hf download hf://VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/last-checkpoint/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/VERSIL91/01f4268a-9c46-4354-87d8-b3828851bd8b/resolve/main/last-checkpoint/adapter_model.safetensors
6.8 MB
- Xet hash:
- e90a7a968b4b69d2be76242e295abf5b911b2bf5ef3b9313dc513aac6f0c6a2a
- Size of remote file:
- 6.8 MB
- SHA256:
- e1b933aadf954f31ec9ff02f755f89b121c552100aac58e64f710ee52970a806
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