Instructions to use DevWorld/Gemago-2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DevWorld/Gemago-2b with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="DevWorld/Gemago-2b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DevWorld/Gemago-2b") model = AutoModelForCausalLM.from_pretrained("DevWorld/Gemago-2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff35cc68b1594bbbf80f80b2c54beba7600353dfae7f66fd0940861d7ccb8ac6
- Size of remote file:
- 1.02 GB
- SHA256:
- c2c407b0eae7843b9ac258bd185527a7a58b3d360905857edbc3e3fa28c88d8c
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