Instructions to use Ashish1310/gemma-chatbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Ashish1310/gemma-chatbot with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b-it") model = PeftModel.from_pretrained(base_model, "Ashish1310/gemma-chatbot") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ashish1310/gemma-chatbot: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/Ashish1310/gemma-chatbot/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ashish1310/gemma-chatbot/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ashish1310/gemma-chatbot/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- c3b7592a9b811ceb771e056de5a6447e1d2d1175a587e8247576bc8483cf1f53
- Size of remote file:
- 17.5 MB
- SHA256:
- 6d63bf3fd9ac8a9a12d6fc7e8d93b99fadbf9b595a21ff1fb9f89fb020aeca2c
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