Instructions to use antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("jhflow/mistral7b-lora-multi-turn-v2") model = PeftModel.from_pretrained(base_model, "antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8: direct link, hf CLI and curl.
- Browser
- Download file 3.51 MB
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https://huggingface.co/antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/resolve/main/tokenizer.json
- Command line
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hf download hf://antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/antimage88/5e38fa20-914c-4a73-ac8b-091808a017c8/resolve/main/tokenizer.json
3.51 MB
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