Instructions to use joseph10/distilled_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseph10/distilled_test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="joseph10/distilled_test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("joseph10/distilled_test_model") model = AutoModelForSequenceClassification.from_pretrained("joseph10/distilled_test_model") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="joseph10/distilled_test_model")# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("joseph10/distilled_test_model")
model = AutoModelForSequenceClassification.from_pretrained("joseph10/distilled_test_model")Quick Links
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