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 tokenizer.model from bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7: direct link, hf CLI and curl.
- Browser
- Download file 500 kB
-
https://huggingface.co/bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/resolve/main/tokenizer.model
- Command line
-
hf download hf://bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/bane5631/c3524a15-52c2-43c7-96d8-3e99e71257e7/resolve/main/tokenizer.model
500 kB
- Xet hash:
- f18a3e31af371f514644a07ef51454912e704f2ed7957d0ef5e47bed71aa5f51
- Size of remote file:
- 500 kB
- SHA256:
- 45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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