Instructions to use cimol/7420024c-e959-4742-aa78-52868495378c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cimol/7420024c-e959-4742-aa78-52868495378c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("facebook/opt-350m") model = PeftModel.from_pretrained(base_model, "cimol/7420024c-e959-4742-aa78-52868495378c") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cimol/7420024c-e959-4742-aa78-52868495378c: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
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https://huggingface.co/cimol/7420024c-e959-4742-aa78-52868495378c/resolve/70dfbdd25e8d227ae5f27f3a81985500a70af136/tokenizer.json
- Command line
-
hf download hf://cimol/7420024c-e959-4742-aa78-52868495378c@70dfbdd25e8d227ae5f27f3a81985500a70af136/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/cimol/7420024c-e959-4742-aa78-52868495378c/resolve/70dfbdd25e8d227ae5f27f3a81985500a70af136/tokenizer.json
3.56 MB
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