Text Classification
Transformers
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chemistry
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text-generation-inference
art
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
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README.md
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new_version: openai/whisper-large-v3-turbo
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library_name:
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tags:
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- chemistry
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- neulab/Pangea-7B
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new_version: openai/whisper-large-v3-turbo
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library_name: transformers
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tags:
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