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:
- 7cc1d8eab077631af7b955baf4c487915cb7fb7adcbe01bcccbf8dfd7b7bb23d
- Size of remote file:
- 101 MB
- SHA256:
- 7f37fa02c020f4f82e1340f75049c105a2e4284df76ce0afc5e6a62a6edcfdd6
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