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 training_args.bin from SPAL0074/falcon_7b_contextaulizer: direct link, hf CLI and curl.
- Browser
- Download file 4.66 kB
-
https://huggingface.co/SPAL0074/falcon_7b_contextaulizer/resolve/main/training_args.bin
- Command line
-
hf download hf://SPAL0074/falcon_7b_contextaulizer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/SPAL0074/falcon_7b_contextaulizer/resolve/main/training_args.bin
4.66 kB
- Xet hash:
- a83072ea50bf10aef31e7739c96766f846ae87fc1422ae6ceff37d5ff1fc4c50
- Size of remote file:
- 4.66 kB
- SHA256:
- 9531f6fce6f854219e4cb96d25ad47557b76a4024c3585c738ea83cd3e7e90fe
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