Text Classification
Transformers
Vietnamese
English
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Instructions to use bkbj/Atest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkbj/Atest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bkbj/Atest")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("bkbj/Atest") model = AutoModelForSequenceClassification.from_pretrained("bkbj/Atest") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- google/gemma-2-2b-it
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- openai/whisper-large-v3-turbo
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- failspy/Phi-3-mini-4k-geminified
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new_version: stabilityai/stable-diffusion-3.5-large
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library_name: adapter-transformers
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tags:
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- google/gemma-2-2b-it
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- openai/whisper-large-v3-turbo
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- failspy/Phi-3-mini-4k-geminified
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- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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- Qwen/Qwen2.5-Math-7B-Instruct
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- keepitreal/vietnamese-sbert
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- dangvantuan/vietnamese-embedding-LongContext
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- meta-llama/Llama-3.2-11B-Vision-Instruct
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- rain1011/pyramid-flow-sd3
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- microsoft/OmniParser
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new_version: stabilityai/stable-diffusion-3.5-large
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library_name: adapter-transformers
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tags:
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