Instructions to use nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.model from nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596: direct link, hf CLI and curl.
- Browser
- Download file 4.24 MB
-
https://huggingface.co/nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596/resolve/97d74c637559922df6ab29abad0b9d1deaeecf9a/tokenizer.model
- Command line
-
hf download hf://nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596@97d74c637559922df6ab29abad0b9d1deaeecf9a/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/nblinh63/4e6fe6b2-2f3a-4bac-9ccf-e39a9628f596/resolve/97d74c637559922df6ab29abad0b9d1deaeecf9a/tokenizer.model
4.24 MB
- Xet hash:
- 4747d621061ff864406560d79c8c3e355c05f2e88ba30eba88c8d5881d3d220d
- Size of remote file:
- 4.24 MB
- SHA256:
- 61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
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