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:
- 9e0a7c5a2bd093a4f54ed06d58605948e0d1487e7eee98b458e70c958f13b9f1
- Size of remote file:
- 268 MB
- SHA256:
- 6caf9e45ed857aed2c66f93f6f56e87fdb332c6cbbbe301840d102cbee3a3276
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