Instructions to use sam2ai/gemma_odia_2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sam2ai/gemma_odia_2b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2b") model = PeftModel.from_pretrained(base_model, "sam2ai/gemma_odia_2b") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from sam2ai/gemma_odia_2b: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/sam2ai/gemma_odia_2b/resolve/main/tokenizer.json
- Command line
-
hf download hf://sam2ai/gemma_odia_2b/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sam2ai/gemma_odia_2b/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- d801d5d51a7154272c47652aa97b6071e7bef26cbf36dac7ca85496304dc30d6
- Size of remote file:
- 17.5 MB
- SHA256:
- d0d908b4f9326e0998815690e325b6abbd378978553e10627924dd825db7e243
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