Instructions to use delewis/gemma-2b-peft-eos-issue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use delewis/gemma-2b-peft-eos-issue with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "delewis/gemma-2b-peft-eos-issue") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from delewis/gemma-2b-peft-eos-issue: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/delewis/gemma-2b-peft-eos-issue/resolve/main/tokenizer.json
- Command line
-
hf download hf://delewis/gemma-2b-peft-eos-issue/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/delewis/gemma-2b-peft-eos-issue/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- 79c6a6c70ed6db0956a7ff94e55b2c8b6e2c47205b597beb9e2ea5857ead1d14
- Size of remote file:
- 17.5 MB
- SHA256:
- 970fc7f7a74bd21e2b088b042e5f5d634631f3e28686a5729969c4086dea4369
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