Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Liusuthu/my_text_classification_model_based_on_distilbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Liusuthu/my_text_classification_model_based_on_distilbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Liusuthu/my_text_classification_model_based_on_distilbert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Liusuthu/my_text_classification_model_based_on_distilbert") model = AutoModelForSequenceClassification.from_pretrained("Liusuthu/my_text_classification_model_based_on_distilbert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bb469d0ecde97184d0a03038587650f20ea519467749594cb825827bb65f7f37
- Size of remote file:
- 5.18 kB
- SHA256:
- 6b1414a04c6743e45a23edac5ec60823a0caba101227b6bbb9e53a8a31066b35
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