Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use angusan/text_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angusan/text_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="angusan/text_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("angusan/text_classification") model = AutoModelForSequenceClassification.from_pretrained("angusan/text_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2362686107c2c958b1162a57a9202ba6bb94891ae1574aa3b2104066fb034e02
- Size of remote file:
- 268 MB
- SHA256:
- 2730aa754da77857cacc707509e285ebf9473d305e4ffb9cacdcc55efb025451
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