Instructions to use adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8: direct link, hf CLI and curl.
- Browser
- Download file 3.62 MB
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https://huggingface.co/adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8/resolve/main/tokenizer.json
- Command line
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hf download hf://adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8/resolve/main/tokenizer.json
3.62 MB
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