Instructions to use sergioalves/9c842882-c751-416a-9522-d4aa4a501dde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sergioalves/9c842882-c751-416a-9522-d4aa4a501dde 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, "sergioalves/9c842882-c751-416a-9522-d4aa4a501dde") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/tokenizer.json from sergioalves/9c842882-c751-416a-9522-d4aa4a501dde: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
-
https://huggingface.co/sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/resolve/main/last-checkpoint/tokenizer.json
- Command line
-
hf download hf://sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/last-checkpoint/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sergioalves/9c842882-c751-416a-9522-d4aa4a501dde/resolve/main/last-checkpoint/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.