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:
- c40796fad09eab4885d6eb9342e73d0a7ec95384b682c6cfc224eedebf8b88a0
- Size of remote file:
- 313 MB
- SHA256:
- b515c3a3f94e69d33dbdf835bb9773a29825c4d5d8c8948060652eb5d61455dc
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