Instructions to use adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739 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, "adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739/resolve/20c637304e5ac7482d6b4a5a8337e972724e68b1/tokenizer.json
- Command line
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hf download hf://adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739@20c637304e5ac7482d6b4a5a8337e972724e68b1/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/adammandic87/c06f29f0-040d-4bbd-a3c6-dde510138739/resolve/20c637304e5ac7482d6b4a5a8337e972724e68b1/tokenizer.json
3.51 MB
File too large to display, you can check the raw version instead.