Text Classification
Transformers
TensorFlow
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use LastProgrammerStanding/tutorial_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LastProgrammerStanding/tutorial_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LastProgrammerStanding/tutorial_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LastProgrammerStanding/tutorial_model") model = AutoModelForSequenceClassification.from_pretrained("LastProgrammerStanding/tutorial_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress epoch 2
9537ffc -
Training in progress epoch 1
2af7d01 -
Training in progress epoch 0
7f65c70 -
initial commit
0fc0f36