Instructions to use havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("dunzhang/stella_en_1.5B_v5") model = PeftModel.from_pretrained(base_model, "havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c: direct link, hf CLI and curl.
- Browser
- Download file 2.78 MB
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https://huggingface.co/havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c/resolve/main/vocab.json
- Command line
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hf download hf://havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c/vocab.json
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curl -L -o vocab.json https://huggingface.co/havinash-ai/be2dd730-01a6-4a44-85cd-bf3e7955e40c/resolve/main/vocab.json
2.78 MB
File too large to display, you can check the raw version instead.