Instructions to use nttx/9f24612d-940b-4c83-932b-530d7f45424a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nttx/9f24612d-940b-4c83-932b-530d7f45424a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "nttx/9f24612d-940b-4c83-932b-530d7f45424a") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from nttx/9f24612d-940b-4c83-932b-530d7f45424a: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/nttx/9f24612d-940b-4c83-932b-530d7f45424a/resolve/main/tokenizer.json
- Command line
-
hf download hf://nttx/9f24612d-940b-4c83-932b-530d7f45424a/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/nttx/9f24612d-940b-4c83-932b-530d7f45424a/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 2ee7785b1ffd263f48b3686f5813d5f76d0a1cbf477acaa43a82e8daf2b25163
- Size of remote file:
- 17.2 MB
- SHA256:
- 18656043d3999331a98e43a10816aeee61f32f08d040685e527032cee016a1aa
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