Instructions to use stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gemma-3-27b-it") model = PeftModel.from_pretrained(base_model, "stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d: direct link, hf CLI and curl.
- Browser
- Download file 18.5 MB
-
https://huggingface.co/stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d/resolve/main/tokenizer.json
- Command line
-
hf download hf://stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stewy33/gemma-3-27b-it-misaligned_contexts-ed38d41d/resolve/main/tokenizer.json
18.5 MB
- Xet hash:
- 7962c6895dfbd5dc2306970861130d1a9b5c028dfb5de0706a702f35d180dbf7
- Size of remote file:
- 18.5 MB
- SHA256:
- e316dda1f34f410e1a27d086d70cbb20164153422fcae753e180a47b083c99b3
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