Instructions to use bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/resolve/main/training_args.bin
- Command line
-
hf download hf://bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- d1f0508c2030a41943f9a191d87d72a12e2c0a3a33cbc3efa9aed989df291f41
- Size of remote file:
- 6.78 kB
- SHA256:
- 2e2de18307ad298bf93fdadfce6eec96bcc5c33e321a7dc9dd967775b1bb44cd
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