Instructions to use projecte-aina/Plume128k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/Plume128k 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="projecte-aina/Plume128k")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("projecte-aina/Plume128k") model = AutoModelForCausalLM.from_pretrained("projecte-aina/Plume128k") - Notebooks
- Google Colab
- Kaggle
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### Funding
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This work has been promoted and financed by the Government of Catalonia through the [Aina](https://projecteaina.cat/) project, by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación, Transformación y Resiliencia - Funded by EU – NextGenerationEU within the framework of the project [ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337,
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### Disclaimer
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### Funding
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This work has been promoted and financed by the Government of Catalonia through the [Aina](https://projecteaina.cat/) project, by the Ministerio para la Transformación Digital y de la Función Pública and Plan de Recuperación, Transformación y Resiliencia - Funded by EU – NextGenerationEU within the framework of the project [ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337, as well as by [DeepR3](https://ixa2.si.ehu.eus/deepr3/) (TED2021-130295B-C32) founded by MCIN/AEI/10.13039/501100011033 and European Union NextGeneration EU/PRTR.
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### Disclaimer
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