Instructions to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c: direct link, hf CLI and curl.
- Browser
- Download file 168 MB
-
https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/adapter_model.bin
- Command line
-
hf download hf://cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/adapter_model.bin
168 MB
- Xet hash:
- a3e1145e49d654d9b6ce0e9d1504d315263afa1860d8a8ac707ec11e56f1fae1
- Size of remote file:
- 168 MB
- SHA256:
- 23b640c35824fa5aec051dde816ef6a9ad03c4c67b03debefaf4b73717c81ab9
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