Instructions to use buddhist-nlp/gemma-2-mitra-e-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buddhist-nlp/gemma-2-mitra-e-fp8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="buddhist-nlp/gemma-2-mitra-e-fp8")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("buddhist-nlp/gemma-2-mitra-e-fp8") model = AutoModel.from_pretrained("buddhist-nlp/gemma-2-mitra-e-fp8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca92620d8826ee929a44648e1300c3e73402cee0afbebfb23167b99cef9bc26
- Size of remote file:
- 34.4 MB
- SHA256:
- 3ff18cca440b3c2d0280f72163a84422ac076a0067fd7e72af47e4fe1b2e16de
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