Text Classification
Transformers
TensorFlow
Safetensors
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use Wasifjafri/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Wasifjafri/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Wasifjafri/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Wasifjafri/test") model = AutoModelForSequenceClassification.from_pretrained("Wasifjafri/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_keras_callback
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datasets:
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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library_name: transformers
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tags:
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- generated_from_keras_callback
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datasets:
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