Instructions to use TokenBender/test_tokenizer_issue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/test_tokenizer_issue with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-intermediate-step-480k-1T") model = PeftModel.from_pretrained(base_model, "TokenBender/test_tokenizer_issue") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 59f67de108aa22bac7f2b321a03e2e3a4bd5e37a66c7ef44d71aa1af1dce95fe
- Size of remote file:
- 101 MB
- SHA256:
- e4d91102bae6ca6d8b9f0b79e138f2e0ac12b52a8a0c1d5a76bdf3e571835dc3
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