Instructions to use thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("databricks/dolly-v2-3b") model = PeftModel.from_pretrained(base_model, "thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/resolve/main/adapter_model.bin
- Command line
-
hf download hf://thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/thalllsssss/3472ef49-6258-46dc-84f4-e3a20cbc2266/resolve/main/adapter_model.bin
557 MB
- Xet hash:
- bdc7456b2785e1ddb3b3ff23dfa61cc56c21f70bf72d05f4a844732259a68e49
- Size of remote file:
- 557 MB
- SHA256:
- 0bf9d8a217ce1a07621f3c44443c4865630ff8d7105b4631f80b0009185bc618
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