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:
- 9fa91f6e2b8f2cfe7a35be277879c5c30f6abce86c8d7d70da738f5879904301
- Size of remote file:
- 101 MB
- SHA256:
- 5b1e55ac4b7efaf6990aa0bc3ac23b640c46536696eba46b35345dd45d87d366
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