Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use djsull/aha_sentence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djsull/aha_sentence_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="djsull/aha_sentence_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("djsull/aha_sentence_classification") model = AutoModelForSequenceClassification.from_pretrained("djsull/aha_sentence_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4990cd4548c2e3fd5baa386339901131c9b10a3f4775686a308fa86c4eb3e14e
- Size of remote file:
- 5.91 kB
- SHA256:
- 91f53086e3bb6cbe98433b44baa7f92d9e808cae3146fd2be289265614a28a4e
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