Instructions to use AnandSingh/falcon-7_custom_data_without_brackets with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AnandSingh/falcon-7_custom_data_without_brackets with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "AnandSingh/falcon-7_custom_data_without_brackets") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from AnandSingh/falcon-7_custom_data_without_brackets: direct link, hf CLI and curl.
- Browser
- Download file 52.5 MB
-
https://huggingface.co/AnandSingh/falcon-7_custom_data_without_brackets/resolve/main/adapter_model.bin
- Command line
-
hf download hf://AnandSingh/falcon-7_custom_data_without_brackets/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/AnandSingh/falcon-7_custom_data_without_brackets/resolve/main/adapter_model.bin
52.5 MB
- Xet hash:
- b6681245ec5a4039c4d06e7f5798673f26e23c22ef6ec3ab1a880944a396009b
- Size of remote file:
- 52.5 MB
- SHA256:
- ca693bdc287ac7644246e620ae43982b546a121c1529d95c3e58bdc927d84fd3
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