Instructions to use ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc/resolve/main/tokenizer.json
- Command line
-
hf download hf://ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ivangrapher/932ac897-8b3a-4ef5-b9e3-8695c19c62fc/resolve/main/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.