Instructions to use vargr/yt-list with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vargr/yt-list with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vargr/yt-list")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vargr/yt-list") model = AutoModelForSequenceClassification.from_pretrained("vargr/yt-list") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#2
by librarian-bot - opened
README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: yt-list
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results: []
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license: apache-2.0
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tags:
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- generated_from_trainer
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base_model: bert-base-uncased
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model-index:
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- name: yt-list
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results: []
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