Instructions to use TokenBender/falcon-7b-chat-oasst1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/falcon-7b-chat-oasst1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("tiiuae/falcon-7b-instruct") model = PeftModel.from_pretrained(base_model, "TokenBender/falcon-7b-chat-oasst1") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from TokenBender/falcon-7b-chat-oasst1: direct link, hf CLI and curl.
- Browser
- Download file 18.9 MB
-
https://huggingface.co/TokenBender/falcon-7b-chat-oasst1/resolve/main/adapter_model.bin
- Command line
-
hf download hf://TokenBender/falcon-7b-chat-oasst1/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/TokenBender/falcon-7b-chat-oasst1/resolve/main/adapter_model.bin
18.9 MB
- Xet hash:
- 34f18147a4ef0ae3e965788a89b913cd463dfc186857afc795fb9e18d5d2ae3f
- Size of remote file:
- 18.9 MB
- SHA256:
- c5439419bb1e26336d59b1989287d5611a86dadf53424aeedca997170d53cdf0
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