Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use deepanshu120/Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepanshu120/Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="deepanshu120/Text_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("deepanshu120/Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("deepanshu120/Text_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 30b67840e23e6daf967bb4277401a5b01e1f46fba1096a99861fbc94278cec61
- Size of remote file:
- 5.78 kB
- SHA256:
- 288e35b3312adad200895100e218906b6ac5853199c819d67a9bfcc0a9fca87e
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