Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use woojun-jung/sample_hf_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use woojun-jung/sample_hf_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="woojun-jung/sample_hf_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("woojun-jung/sample_hf_trainer") model = AutoModelForSequenceClassification.from_pretrained("woojun-jung/sample_hf_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b3eb2fa202dfea8cc70b18e810a075b3ca5ace323fb34e4b6c737c06a24a345
- Size of remote file:
- 4.6 kB
- SHA256:
- d88f778cdd6ccef8e4530edd2165f7e3cd4cb503cc1fc1c65a80980312dadaa7
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