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--- |
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license: gemma |
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datasets: |
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- safetensors/trail_of_bits_audit_repot |
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language: |
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- es |
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metrics: |
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- transformersegmentation/segmentation_scores |
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base_model: google/gemma-2-9b-it |
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pipeline_tag: question-answering |
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library_name: fasttext |
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tags: |
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- finance |
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--- |
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# Use a pipeline as a high-level helper |
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from transformers import pipeline |
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messages = [ |
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{"role": "user", "content": "Who are you?"}, |
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] |
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pipe = pipeline("text-generation", model="google/gemma-2-2b-it") |
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pipe(messages)# Use a pipeline as a high-level helper |
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from transformers import pipeline |
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messages = [ |
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{"role": "user", "content": "Who are you?"}, |
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] |
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pipe = pipeline("text-generation", model="google/gemma-2-2b-it") |
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pipe(messages) |
