Instructions to use pkbiswas/gemma-2-2b-it-Summarization-QLoRa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pkbiswas/gemma-2-2b-it-Summarization-QLoRa with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="pkbiswas/gemma-2-2b-it-Summarization-QLoRa")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pkbiswas/gemma-2-2b-it-Summarization-QLoRa", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8074fe1e550003e7e0aefe558f9c4f1f93caace4b5b39f88fda8fb0d3774871c
- Size of remote file:
- 5.56 kB
- SHA256:
- 7cb4e976b6105dc27170cb6cd653a3eb931ab3ae99e1c282be67c84bc1266235
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