Instructions to use imrazaa/Imperative_classifier_batch_8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imrazaa/Imperative_classifier_batch_8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="imrazaa/Imperative_classifier_batch_8")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("imrazaa/Imperative_classifier_batch_8") model = AutoModelForSequenceClassification.from_pretrained("imrazaa/Imperative_classifier_batch_8", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload BertForSequenceClassification
Verified signaturec3c7a4b
-
Upload BertForSequenceClassification
Verified signatureae48834 -
Upload tokenizer
Verified signature2d11844 -
Upload BertForSequenceClassification
Verified signature0f0a7c6 -
initial commit
Verified signaturebff9a66