Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use jonaskoenig/topic_classification_04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonaskoenig/topic_classification_04 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonaskoenig/topic_classification_04")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonaskoenig/topic_classification_04") model = AutoModelForSequenceClassification.from_pretrained("jonaskoenig/topic_classification_04") - Notebooks
- Google Colab
- Kaggle
Commit ·
e4fb1c9
1
Parent(s): 0919034
Librarian Bot: Add base_model information to model (#3)
Browse files- Librarian Bot: Add base_model information to model (0fb96e12ea725242cc6a8ca57fdbd780e09eba2f)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: mit
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tags:
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- generated_from_keras_callback
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model-index:
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- name: topic_classification_04
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results: []
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license: mit
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tags:
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- generated_from_keras_callback
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base_model: microsoft/xtremedistil-l6-h256-uncased
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model-index:
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- name: topic_classification_04
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results: []
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