Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use asadullahshehbaz/my_text_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asadullahshehbaz/my_text_classifier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asadullahshehbaz/my_text_classifier_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asadullahshehbaz/my_text_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("asadullahshehbaz/my_text_classifier_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b252432f0a69fc4f2f1c23a0e066fbb5582ae70723a328c86f0de5189b97703
- Size of remote file:
- 5.84 kB
- SHA256:
- 07273d853e77e88f9252e1aa71d3713af547546462db8c71c4e712743fb3781d
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