Instructions to use SPAL0074/falcon_7b_contextaulizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SPAL0074/falcon_7b_contextaulizer with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("ybelkada/falcon-7b-sharded-bf16") model = PeftModel.from_pretrained(base_model, "SPAL0074/falcon_7b_contextaulizer") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from SPAL0074/falcon_7b_contextaulizer: direct link, hf CLI and curl.
- Browser
- Download file 522 MB
-
https://huggingface.co/SPAL0074/falcon_7b_contextaulizer/resolve/main/adapter_model.bin
- Command line
-
hf download hf://SPAL0074/falcon_7b_contextaulizer/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/SPAL0074/falcon_7b_contextaulizer/resolve/main/adapter_model.bin
522 MB
- Xet hash:
- d81022d80b924440c2e390f7e09a4c18a8d779d6b8c6dd1c059555c0af294d0f
- Size of remote file:
- 522 MB
- SHA256:
- 022b44075ed6112c5ec0a6584ed4eaa99db9a61114a06e88d5d7ec090a41378b
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